Python memory leak Do you have advice on how to overcome this? Example c… May 24, 2023 · I think python have garbage collection mechanism, so list should be None which will not cause memory leak. Evolution of Memory Management Techniques 2. set_threshold to trigger garbage collection at a lower memory usage point. May 28, 2025 · Discover hidden memory leaks in Python, learn why they happen, and how to fix them using powerful profiling tools. You’ll have to use the garbage collector included module to debug memory usage in Python. 4 includes a new module: tracemalloc. We are using UPDATE I've contacted Python developers about this problem and indeed it's not going to be possible to unload a module completely "in next five years". 4. Here's an example that displays the top three lines allocating memory. . 2 under 32-bit Raspberry Pi OS Bullseye; that is, a non-current version. g. Metaclasses implement singletons. However, like any other programming language, Python programs can have memory leaks and other memory-related issues. See examples of tracing, comparing and displaying memory blocks and their tracebacks. Jul 23, 2025 · The tracemalloc module allows developers to trace memory allocations, providing insights into where memory is being used and helping identify memory leaks or inefficiencies. The basic idea of my app is : getting urls of the newest documents Jun 13, 2013 · Is this a memory leak? (python + numpy) Asked 12 years, 5 months ago Modified 3 years, 2 months ago Viewed 5k times Sep 25, 2020 · I think there might be a memory leak when using PyDict_SetItemString versus PyDict_SetItem. When there is a memory leak in the application, the memory of the machine gets filled and slows down the performance of the machine. The destructor is called correctly upon garbage collection, but when doing that, a memory leak occurs! Apr 2, 2025 · Hi all, I was redirected from GitHub - python/cpython: The Python programming language to this forum for help with debugging a memory leak in my CPython extension. 5 on OS X and Python 3. I'm using asyncio, httpio boto3 and so on. In this article, Priyanka Nawalramka demonstrates how to use tracemalloc to find the leaks. Diagnosing and fixing memory leaks in Python involves understanding how memory is allocated, identifying problematic areas and applying appropriate solutions. My code contains a memory leak which I am completely unable to find (I've look at the other threads on memory leaks). My reason for thinking it’s a leak is from using the Memory Profiler package, which I was using to investigate a horrendous C extension I was writing. Fortunately, Python provides powerful tools like tracemalloc to help In this article we cover what is a memory leak, what causes a memory leak, and how it handles in python, additionally, we see the benefits of using python in terms of Memory leak Memory Leak: The memory leak is a problem, when memory creates for any variable, references, objects and forgot to delete it, later they create an issue to programs like daemons and servers which never terminate. 8, websocket-client==1. Assuming average word/POS is 5 bytes and average sentence is 10 word/pos pairs, 100MB file is 1M sentences * 10 words * 1 string = (1M * 70) * (10 * 40) = 28Gb of memory if all strings were unique. Sep 20, 2025 · In this article, we’ll thoroughly explain what memory leaks in Python are, their main causes, detection methods, and concrete mitigation strategies, incorporating tools and sample code commonly used in the field. Additionally, look at this code by Gnibbler for determining the types of objects that have been created after a call. Apr 6, 2025 · This comprehensive guide provides practical techniques for identifying, diagnosing, and preventing memory leaks in your Python code. Tracemalloc helps detect memory issues. edit 6 Actually, the memory leak is not fixed. , in respect of memory usage, your two examples have no obvious difference. futures) memory leak Asked 2 years, 10 months ago Modified 2 years, 10 months ago Viewed 2k times Dec 6, 2016 · In this post, you will discover how I used various tools to track down a memory leak in my Python application under Windows! Memory leaks can easily take down a healthy running application within hours if not minutes, but they can be hard to detect. I receive about 600 data objects every 250 ms. I would really appreciate some advice. Jan 20, 2023 · A memory leak in Python occurs when the program dynamically allocates memory for an object and then Tagged with python. So, let’s roll up our sleeves and dive right in! Jan 17, 2019 · Python makes managing memory easy most of the time. Second time the script doesn't call . Future Trends in Memory Management for Python C Extensions 1. 04. freeze() ¶ Freeze all the objects tracked by the garbage collector; move them to a permanent generation and ignore them in all the future collections. 7. What is Nov 8, 2023 · These real-world examples demonstrate how Python's memory management mechanisms, such as garbage collection and context managers, contribute to efficient memory usage and prevent memory leaks. copy() do_some_stuff() the memory leak also seems to be fixed. Explicitly Releasing Memory in Python The del statement in Python can be used to explicitly delete objects and free up memory. To find out if there is a memory leak, we call the endpoint 'foo' multiple times and measure the memory usage before and after the API calls. can you record memory usage of this process and plot it over time, until the system crashes, programs are killed due to lack of free memory, or a significant amount of memory is allocated? Dec 23, 2022 · Python ThreadPoolExecutor (concurrent. One such scenario arises Native allocation tracking. As the digital world continues to expand, web applications are under constant pressure to perform efficiently under limited resource constraints. x versions didn't have this leak, but 4+ versions all seem to leak memory. Objects such as arrays and strings grow dynamically as needed and their memory is cleared when no longer needed. Memory leaks can lead to performance issues, slow down applications, and even cause crashes. My architecture is looking for the following: A main process that delegates tasks to a fe Jul 9, 2014 · I noticed a very large increase in memory usage when retrieving a pdf file using requests library. May 29, 2014 · It is only fair to Python to note that this is not a memory leak since the memory is definitely made available for further allocations. Just for context, this is Ubuntu 13 Feb 19, 2015 · I have a Python program that runs a series of experiments, with no data intended to be stored from one test to another. While Python’s automatic garbage collection (GC) handles most memory management for Python objects, **interactions with C libraries via `ctypes`** introduce unique challenges. As an code-savvy friend with a passion for coding, I often find myself grappling with the nitty-gritty of memory management and garbage collection in Python. Feb 9, 2023 · Memory leaks can be fixed using debugging methods. Memory profilers are essential tools that help you identify memory leaks and Sep 11, 2024 · Smart detection automatically analyzes the memory consumption of each process in your application. 4 on Ubuntu 14. All that garbage collection guarantees is that the memory used by an object which has been collected is free to be used by another object at some future time. Jun 17, 2023 · Understanding the common patterns of memory leaks can help developers be mindful of leaks or avoid them at an earlier stage during the development process and may further inspire future research. This means that when you use Memray to profile your Python code, you'll be able to see the entire call stack, including any calls to C/C++/Rust functions. Nov 20, 2023 · Hey there, tech-savvy pals! Today, we’re going to unravel the intriguing world of tracing Python memory leaks with GDB. (specifically this line which has a dubious comment by it). Nov 13, 2025 · Python is renowned for its simplicity and developer-friendly features, including automatic memory management. The later the bucket, the less often python will try to delete an object, which causes memory usage to rise. Jul 9, 2013 · It looks like celery does not release memory after task finished. 1. However, that memory will not get returned to the system until the process ends, nor will it be reused for anything other than allocating numbers of the same type. Several tools are available for identifying memory leaks in Python: objgraph: This visualization library helps track object references and identify which objects are taking up memory. islice to process them in smaller chunks. It doesn't appear on Python 2. However, developers working with file I/O—especially when processing large numbers of small files or reading small string chunks—may encounter unexpected memory bloat. If you have an iterator of a huge number of elements, you can use itertools. This is a serious issue while building a large scalable application. Memory usage started out flat, but over time more and more of our proxies would exhibit high memory growth. 1. Advancements in Memory Leak Detection and Prevention Techniques in Python C Extensions Program Code – Debugging Memory Leaks in Python C Extensions Hey there, tech-savvy May 3, 2019 · We are trying to tune some parameters in Python on Windows 10. x. Oct 13, 2022 · It was clear from memory usage graphs that there was a triggering event which was causing the excessive memory growth. 46 over FFMPEG backend. A memory leak occurs when a program fails to release memory that is no longer needed, resulting in the program Aug 9, 2022 · I am facing memory issues during downloading large data sets from paginated API responses in python. Apr 24, 2021 · In this article we cover what is a memory leak, what causes a memory leak, and how it handles in pyth Tagged with python, memorymanagement. But you need to understand how they work, so you don’t leak memory, or modify data by mistake. I've tested many scenarios and determined it is indeed the Popen that causes the leak, but it's as if it's a ghost leak of some sort. Some views does not close multiprocessing. Memray sees allocations made by C/C++/Rust libraries. Pool after using it. Mar 13, 2021 · Python has some tools for analyzing memory leaks, including: pdb-mmem, pympler and muppy (described in this medium article); I found their reports to show large blocks of memory located inside Dec 8, 2024 · Learn how to detect, debug, and prevent memory leaks in Python applications to improve performance and resource efficiency. Jun 21, 2024 · Python applications, especially those dealing with large datasets or complex computations, can consume excessive memory, leading to slowdowns, crashes, or out-of-memory errors. 3 days ago · Identifying memory leaks in Python requires a mix of understanding how Python manages memory, knowing common leak causes, and using specialized tools. But is that true? **Spoiler:** Yes, memory leaks *can* occur in Python—often due to subtle mistakes in how we write code. The catch here is that, it doesn’t necessarily mean “not enough memory available”. Memray is a memory profiler for Python. 2 under current (admittedly 64-bit) Raspberry Pi OS Bookworm, I didn't see a leak. Sep 10, 2024 · Introduction Memory leaks in Python can lead to high memory usage, reduced application performance, and even crashes, especially in long-running processes or applications handling large data sets. I've tested Python 3. Jan 2, 2016 · 14 I am using pandas. Feb 7, 2025 · Explore the top Python profiling tools to enhance code performance, identify bottlenecks, and optimize memory usage effectively. It's a type of resource leak or wastage. (see the link) Please accept that Python indeed does not support unloading modules for severe, fundamental, insurmountable, technical problems, in 2. I've a Django application that every so often is getting into memory leak. 1, unicorn-binance-websocket-api==1. However, like any other programming language, it is prone to errors such as memory leaks. workers. , pointers, buffers 1 day ago · Memory leaks are insidious bugs that occur when a program fails to release unused memory, leading to gradual memory consumption growth, degraded performance, and even crashes. The file itself is ~4MB large but physical memory allocated to python processes increases by more 1 day ago · Memory leaks are insidious bugs that occur when a program fails to release unused memory, leading to gradual memory consumption growth, degraded performance, and even crashes. Mar 11, 2025 · By incorporating these libraries into your development workflow, you can ensure your Python applications remain efficient and stable, even when running for extended periods. A memory leak in Ray occurs when memory allocated during runtime is not properly released, causing it to accumulate over time. The gc module allows manual control of garbage collection. This can be incredibly useful for tracking down memory issues, as it allows you to see exactly where and how memory is being Mar 16, 2022 · There is a historical memory leak problem in our Django app and I fixed it recently. I am trying to connect to an IP camera, read frames, then release it. 5 days ago · Memory leaks in Python can be deceptively tricky. P. The problem disappears when I use Pool with with statement. I have an API with async functions that it is running with gunicorn( gunicorn -k uvicorn. That normally isn’t a problem—the memory isn’t leaked, it’s just in one of three levels of free lists so when you need memory again, it doesn’t have to allow, so it goes faster. When I tried to parallelize the download of multiple pages using ThreadPoolExecutor, I noticed that the finished and resolved futures do not release its memory footprint. Read more to learn how to combat python memory leaks! Jul 25, 2017 · something = df. , pointers, buffers Mar 22, 2018 · I have achieved multiprocessing using Pool. It should be as short and simple as possible and ideally not use non-standard dependencies (that could simply do the memory Nov 21, 2013 · I am trying to memcheck a C python extension I am writing, but I'm having trouble setting up valgrind to work with python. 0. It's active when your app generates enough memory performance counters telemetry (for example, Private Bytes). 4 and 3. Feb 16, 2009 · Python 3. Python’s standard libraries allow us to find out these matrices at a line level, even on a multi-module application. Detecting Memory Leaks: To guarantee effective memory management, Python programs must be checked for memory leaks. When it is a problem, the answer is pretty simple: you’re already using multiprocessing, so you can just recycle the pool processes every 1 day ago · However, one critical challenge users often face is **constantly growing memory usage**—a symptom of memory leaks—that can lead to out-of-memory (OOM) errors, degraded performance, or even cluster crashes. A memory leak occurs when a program continuously allocates memory but fails to release it, leading to an eventual crash or system failure. Apr 20, 2025 · I'm struggling since a while to determine where my memory leaks are coming from. Feb 20, 2017 · The leak is most likely coming from your own extension, not from Python. Here is my original question: Having troubble debugging a memory leak from CPython extension · Issue #131997 · python/cpython · GitHub Thank you so much! Apr 18, 2025 · Hey there! Ready to dive into Understanding Python Memory Leaks? This friendly guide will walk you through everything step-by-step with easy-to-follow examples. Mar 7, 2017 · Looking at memory usage showed that the reflector's memory footprint increased monotonically and continuously, indicating a memory leak. The memory is not freed as I expected it to. 2 days ago · In loops, where pickled objects are loaded repeatedly, even small, unaddressed leaks can snowball into critical issues. Apparently the return meant that a reference to the original task was being kept in memory (instead of being garbage collected), and the function only had a very short wait time associated with it (1ms) - so memory kept building up fast. Also I did a new code with static buffer size (same maximum size for send / receive!) that memory leak only if the size of the original buffer sent is randomized. I've found out that there is a memory lea Sep 21, 2008 · Muppy tries to help developers to identity memory leaks of Python applications. However it leaks memory, around 600MB every 15 minutes. Jul 26, 2021 · This article focused on how to trace back execution times and memory usage in a Python program. 2 days ago · gc. If a process will fork() without exec(), avoiding unnecessary copy-on-write in child processes will maximize memory sharing and reduce overall memory usage. In this article, we’ll delve into the Sep 28, 2020 · I'm trying to solve a multiprocessing memory leak and am trying to fully understand where the problem is. A particularly insidious scenario involves strings smaller than 128KB: even when these strings Nov 20, 2023 · The Role of Memory Management in Optimizing Python C Extensions B. Many methods can be used, including memory profiling and memory consumption monitoring. Feb 24, 2025 · What is a memory leak? Learn its causes, examples, and detection techniques to prevent performance issues in software and optimize memory management. When Jan 14, 2025 · Much like memory leaks, you may be able catch these sort of leaks via your test suite, with a similar fixture. It can track memory allocations in Python code, in native extension modules, and in the Python interpreter itself. May 7, 2013 · Please note that python never guarantees that any memory that your code uses will actually get returned to the OS. Aug 21, 2024 · Explore memory leaks and profiling in Python. Unlike lower-level languages like C/C++, Python’s automatic garbage collection (via reference counting and a cyclic garbage collector) usually handles memory management. Aug 26, 2024 · Python is a versatile and powerful programming language that is widely used for various applications. The good thing is that the summary now no longer reports drastically increasing memory consumption. Jul 23, 2025 · How to Fix Memory Leaks in Python Once you have identified the source of a memory leak in your Python code, there are a few strategies that you can use to fix it. However, leaks still occur—often due to **unintended object persistence** or **circular references** that the garbage collector fails to resolve. I'm constantly faced with the problem of memory leaks. This blog will demystify memory leaks when working with large pickle files in Python loops. Mar 3, 2025 · Conclusion Detecting and managing memory leaks is critical for maintaining performant and reliable Python applications. Aug 1, 2023 · As a Python developer, optimizing memory usage in your applications is crucial to ensure performance and efficiency. Aug 12, 2023 · Learn how to use 'cProfile' to uncover memory-related problems and memory leaks in Python code. Oct 26, 2021 · 5 I'm using Python3. Possible Duplicate: Python: Is it possible to have an actual memory leak in Python because of your code? Since the python garbage collector handles detection of circular references (object A referencing Object B and Object B referencing Object A), I was wondering what could cause a memory leak in python code? Dec 9, 2020 · As for your test leak script: yes, I did see a slow memory leak on Python 3. Apr 27, 2022 · You can find memory leaks in Python code with tracemalloc. I have noticed that I have a memory leak, since the memory usage of my program augments gradually over 10mn, to finally reach ~100% of my computer memory and crash. May 26, 2023 · Python is a popular programming language known for its simplicity and ease of use. LRU caching speeds up expensive function calls. Jun 3, 2015 · I have a very complicated class for which I'm attempting to make Python wrappers in SWIG. In the realm of Flask, a lightweight and versatile web framework for Python, optimizing memory and resource usage is crucial for maintaining a seamless user experience and minimizing operational costs. I refered to Tensorflow : Memory leak even while closing Session? to address my issue, and I followed the advices of the answer, that seemed to have solved the Mar 10, 2023 · Introduction Python is a popular language for its ease of use and ability to handle complex tasks with minimal effort. 11. This blog will guide you through the process of detecting, diagnosing, and fixing memory leaks in Python, with a focus on practical tools and techniques for complex programs. It can warn you about potential memory leaks or increased memory consumption. Learn to identify, resolve, and optimise memory usage, as well as advanced techniques and tools to enhance your application’s performance. It can generate several different types of reports to help you analyze the captured memory usage data. Feb 19, 2015 · How can you tell you have a memory leak? Is it that your process memory grows to a large size, and never shrinks? If so, be advised that Python doesn't necessarily return memory to the OS just because it's no longer using it. But memory usage can be just as … Jan 17, 2019 · Python makes managing memory easy most of the time. It provides detailed statistics about which code is allocating the most memory. A Word on Python Memory Management: Python does memory management on its own and it’s completely abstracted from user. A memory leak occurs when a program fails to release memory that is no longer needed, resulting in the program Sep 30, 2024 · How can I use Python's gc module to identify and debug these memory leaks? What are the best practices for managing memory in Python to prevent leaks in long-running applications? Implementing del: I ensured that my classes had del methods defined correctly, even though they are not causing the leaks. We have many parameters and the range is wide so we are trying to calculate around 1000000 possibilities at least. When I create an instance of the item in Python, however, I'm unable to initialize certain data members wit Feb 9, 2023 · memory used by this process increasing gradually that’s the whole program, except for the cv2 import? nothing more? okay, that would be a valid program to demonstrate a leak. 9. Can somebody explain, What is causing such a huge memory requirement for such a small file and for such small length computation. However, the result of mprof plot show usage increase. As time goes by, the memory usage of app keeps growing and so does the CPU usage. map() but the code is causing a big memory burden (input test file ~ 300 mb, but memory burden is about 6 GB). PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python plugged the leak, but it will struggle under load. release does not free RAM memory Python videoio , valgrind , leaks 17 6875 June 8, 2021 Memory Leak with VideoCapture Python programming 2 1323 May 20, 2022 Imread fails with unknown exception Python imgcodecs 3 2072 March 24, 2022 Segmentation fault when reading image imgcodecs 1 771 Oct 9, 2020 · The purpose of Python memory profilers is to find memory leaks and optimize memory usage in your Python applications. However, while finetuning it runs out of GPU memory very quickly and I wonder why. This post describes the tools and methods to track the source. tracemalloc is a debug tool to trace memory blocks allocated by Python. No more leaks in C extensions. tracemalloc, a powerful memory tracking tool in the Python standard library, made it possible to quickly diagnose and fix the leak. Mar 14, 2025 · How to Prevent and Fix Memory Errors in Python To prevent and fix memory errors in Python, use memory-efficient data structures, manage object references with gc and weakref, and monitor usage with tools like memory_profiler. While commonly used as a CLI tool, it can also be used as a library to perform more fine-grained Nov 17, 2024 · Python's memory management uses weak references and cyclic garbage collection to prevent memory leaks. Memory leaks can cause a program to consume more memory than necessary, leading to slow performance, crashes, or even system failure. 31. While Python’s Aug 11, 2022 · But as I told you, seems to memory leak on all versions of python, including python2. This is Python's memory leak because there are no pointers to the file objects from the application space. These types of Python memory profilers understand the space efficiency of the code and packages used. So after removing the leak my app now consumes about Jan 20, 2025 · A mysterious memory leak in production turned out to be caused by a bug in the OpenTelemetry Python library that only occurred in serverless environments, not during local testing. Memory-mapped In the development world, memory leaks are akin to the silent but high-impact issues that can sneak into an application, causing sluggish performance and unexpected crashes. Jul 23, 2025 · This will prevent unused data from accumulating in memory and causing a memory leak. Causes of Memory Leaks in Python Memory leaks in Python can arise from several causes, primarily revolving around how objects are referenced and managed. DataFrame in a multi-threaded code (actually a custom subclass of DataFrame called Sound). Keep your apps fast and efficient! Jul 23, 2025 · When a programmer forgets to clear a memory allocated in heap memory, the memory leak occurs. It enables the tracking of memory usage during runtime and the identification of objects which are leaking. Sep 17, 2021 · I have encountered a memory leak problem related with Gunicorn FastApi and multiprocessing library. Mar 26, 2019 · It’s an exception thrown by interpreter when not enough memory is available for creation of new python objects or for a running operation. Apr 5, 2025 · Understanding how memory leaks occur, how to detect them, and most importantly, how to prevent them is essential for writing efficient and reliable Python code. Therefore, it is crucial to identify and fix memory leaks in Python programs. Mar 7, 2022 · Python mat , core 15 11778 June 5, 2021 cv2. Also, note that the garbage collection module actually can have debug flags set. For example, instead of measuring memory usage in the fixture, you instead measure the number of open file descriptors. The specifics of service: Every 50 minutes I close the old websocket and open a new websocket. Oct 16, 2019 · One of the major benefits provided in dynamic interpreted languages such as Python is that they make managing memory easy. The leak is a real memory leak but in a C/C++ extension module your code is using. Look at the set_debug function. Debugging memory leaks in Python is an essential task for any developer, especially in production environments. 0 for work with Binance futures using websockets. By understanding memory management principles, utilizing tools such as tracemalloc, memory_profiler, and objgraph, and adhering to best practices, developers can effectively minimize memory leaks and optimize resource usage. BROKER_ Nov 8, 2024 · Debugging Memory Leaks in a Python app on Kubernetes with memray and Debug Containers When a memory leak began affecting our FastAPI app on Kubernetes, we needed a solution to investigate without … Feb 11, 2023 · I'm looking for an example that purposely makes a memory leak in Python. Oct 11, 2021 · I figured out that ensure_future() caused my memory leak issue - or rather the return I used with it. Jul 8, 2016 · At this stage, memory usage doesn't grow. While Python’s garbage collector automatically manages memory, it isn’t foolproof. Request: The requests library is an integral part of Python Mar 14, 2024 · Memory management is a critical aspect of Python development, yet identifying and debugging memory leaks can be challenging. Also, we will take two tracemalloc snapshots. The below code demonstrates this leak in that the the memory usage before allocating memory in threads is Jun 28, 2021 · What circular references are and why they can cause memory leaks in Python, and Knowledge of Python’s memory profiling tools and some steps you can take to identify the cause of memory problems. close() method and memory usage constanlty increasing. Once you use some memory, Python very rarely returns it to the OS. I had a memory problem in a real-life program with much more data and finally found the culprit was apply_async. I am not using large data that could overload the memory, in fact the application 'eats' memory incrementally (in a week Nov 7, 2025 · Memory leaks in Python are often dismissed as a non-issue due to its automatic garbage collection (GC) and reference counting. We’ll explore their causes, actionable strategies to prevent them, tools to detect leaks, and a step-by-step example to fix leaky code. This feature requires no special setup other than configuring performance counters for your app. Discover the 'memory_profiler' tool for effective memory optimization. Memory leaks can be Jul 5, 2019 · 1 In case of memory leak in big source codes you can use 'pympler' in python to track for the reference in future work. Oct 19, 2022 · Memory allocated in threads is never freed when using a ThreadPoolExecutor. For Python developers, detecting and fixing memory leaks is a critical skill that ensures applications run efficiently and reliably. Jun 9, 2017 · However, when I "swig'it" and use it as a python module, something weird happens. Memory leaks become much less mysterious when you have the right tools to find them. Sometimes there’s a leak. Memory profiling is a technique that allows you to analyze your Python code's memory usage, identify memory leaks and bottlenecks, and optimize memory consumption for improved performance and stability. 1, websockets==9. Previously I had this function as a django view but but the http request time was too long, so I moved it over to a django-celery task. For further debugging, gc module provides more facilities, including ability to list out all objects tracked by the garbage collector, disable/enable collector or manually trigger garbage collection. Mar 21, 2017 · Memory overhead for lists is ~70 bytes, and ~40 bytes for strings. The bad thing is: the task manager/activity monitor tells me otherwise - and the python program is crashing at some point. C-level resources (e. Perfect for beginners and pros alike! Feb 3, 2024 · Python's requests library makes sending HTTP requests simple and convenient, but developers often face memory leaks. So, let’s roll up our sleeves and dive right in! Aug 6, 2020 · When your Python server is leaking memory, the Fil memory profiler can help you spot the buggy code. On Python 3. To detect and fix these issues, developers often use tools like Valgrind. Thanks to mechanisms like reference counting and a built-in garbage collector, many assume Python eliminates the risk of memory leaks entirely. I was only expecting 3*300 mb memory burden at max. Learn how to use memory profiling tools, understand common leak patterns, and implement best practices for memory management, ensuring your applications run smoothly and efficiently. Mar 20, 2025 · Learn how to detect, debug, and prevent memory leaks in Python applications to improve performance and avoid excessive memory consumption. Jul 6, 2025 · Master memory profiling: finding leaks in Python with practical examples, best practices, and real-world applications 🚀 Dec 5, 2024 · Explore effective strategies and tools for identifying and fixing memory leaks in Python applications. Feb 2, 2011 · Your application is freeing (and re-using) memory, but the OS doesn't want the memory re-used, so it keeps allocating new blocks of memory. Since memory management is handled by the language, memory leaks are less common of a problem than in languages like C and C++ where it is left to the Jul 11, 2025 · Python Memory Leaks and How to Hunt Them with tracemalloc When people talk about performance issues in Python, they often focus on CPU bottlenecks or slow I/O. This blog will delve deep into these aspects of Python memory leaks. Have a look at this article: Tracing python memory leaks. Jul 9, 2023 · Memory leaks are a common problem in software development, including Python. Large systems often exit with memory still allocated, simply because it isn't worth it to explicitly free it if the process is about to end anyway. __slots__ reduces class memory footprint. After some research, I figure out the cause. VideoCapture. So with thousands of tasks, soon it will use up all memory. Certain coding practices, reference cycles, or external libraries can cause memory leaks that are difficult to Aug 25, 2025 · Memory profiling Memory profiling lets you detect memory leaks and dynamic memory problems and locate the fragments of code that caused them. Aug 4, 2021 · NumPy uses memory views transparently, as a way to save memory. Apr 18, 2021 · I'm using a ThreadPoolExecutor and I don't understand why it is leaking memory: def callback (message): # Memory intensive operation x = [n for n in range (int (1e6))] return message @ Sep 7, 2022 · Are you facing memory leaks problem in Python? If yes, then get to know the tops causes of memory leaksin Python and how to fix them. In this article, we will explore how to use Valgrind with Python in Python 3 programming. I ran the function several times in a for loop and it seems the memory leak is associated with my code. Strange thing is, the python process itself does not increase in mem usage, but task manager reports increasing memory use. Every time a task finishes, there would be 5m-10m memory leak. Jan 6, 2025 · Detecting Memory Leaks with Tools To effectively manage memory leaks, developers must first detect them. If you don't have a leak and want to just lower memory usage, try using gc. In this tutorial Oct 15, 2018 · Update: I gave a talk at PyCon 2019 on the same subject, if you prefer detailed explanation in video format, checkout PyCon19 India: Let’s Hunt a Memory Leak or just scroll down to the bottom of the page. Closing connections and following best practices can prevent this issue. But I’m still interested in it and wrote some testing code Jun 3, 2021 · I use opencv-python==4. Mar 22, 2025 · Learn how to detect and fix memory leaks in Python! 🚀 Discover common causes, debugging techniques, and best practices to optimize memory usage. One of the challenges that come with writing large and complex Python applications is the potential for memory leaks. Jul 14, 2023 · Using a sufficiently high -n (on my 64GB system it’s 100000000) the python process eats up “all” memory until it gets killed. When python fails to delete an object (because it's referenced by something else), we put it in a later bucket. S. I have created a minimal example which tests this out, and if I comment out the above line Oct 22, 2020 · I am using Pytorch and a pretrained model from the transformers library. Eight code patterns are found in our case study specifically for memory leaks caused by circular references in Python. May 31, 2022 · Also got hit with this, latest 3. 1 day ago · Learn how to use tracemalloc to find and fix memory leaks in Python applications. Memory leaks in Python can be subtle since the language is garbage-collected, meaning Jul 9, 2023 · Memory leaks are a common problem in software development, including Python. Oct 15, 2025 · A memory profiler for Python applicationsMemray is a memory profiler for Python. Object pooling and generators optimize memory usage. The expected behavior is that when the executor is shut down, all memory allocated in its threads should be freed. I have a memory leak with TensorFlow. tlmt uuiezk dmmg zalfchpk cyhzg vjolmho taym hrjp iuxeb zgztf dracl dxyozn rzmpyne hwduw evbviu