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Showing 47 open source projects for "want"
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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1
WeasyPrint
The awesome document factory
...Digital fonts are finely tuned pieces of artwork. To give to your documents the subtle touch they deserve, carefully choose the options you want, kerning, ligatures, old-style numbers, tabular figures, ordinals, etc. -
2
Music Assistant
Music Assistant is a free, opensource Media library manager
...The server is designed to run on an always-on device such as a Raspberry Pi, NAS, Intel NUC, or similar home server. It can work as a standalone product, but it is especially tailored for Home Assistant users who want automation, voice control, and smart-home playback workflows. Music Assistant supports features such as library matching, metadata enrichment, gapless playback, crossfade, volume normalization, synchronized playback, announcements, and queue transfers. It is a strong choice for users who want one organized media layer across different music services and playback devices. -
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Lightly
A python library for self-supervised learning on images
A python library for self-supervised learning on images. We, at Lightly, are passionate engineers who want to make deep learning more efficient. That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training through advanced filtering. ... -
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xAI Python SDK
The official Python SDK for the xAI API
...The package is built for direct integration into Python projects, making it useful for backend apps, automation scripts, AI tools, research prototypes, and production workflows. It uses xAI’s native gRPC interface, which is intended for high-performance communication with the API. The SDK is especially useful for developers who want a first-party, Python-native way to work with Grok and related xAI services without manually handling low-level API calls. -
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100+ Python Projects Challenge
100+ Python Projects Challenge
...The challenges span practical scripts, beginner applications, automation ideas, games, data tasks, and other hands-on exercises. This makes it useful for users who want to build a portfolio of small programs while reinforcing programming fundamentals. The repository is aimed at learners who benefit from doing, modifying, and expanding examples. It is best used as a progressive challenge list for turning Python knowledge into visible working projects. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides,... -
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Pyro
Deep universal probabilistic programming with Python and PyTorch
...It scales easily to large datasets with minimal overhead, and has a small yet powerful core of composable abstractions that make it both agile and maintainable. Lastly, Pyro gives you the flexibility of automation when you want it, and control when you need it. -
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pikepdf
A Python library for reading and writing PDF, powered by QPDF
...Python + QPDF = “py” + “qpdf” = “pyqpdf”, which looks like a dyslexia test and is no fun to type. But say “pyqpdf” out loud, and it sounds like “pikepdf”. pikepdf is a library intended for developers who want to create, manipulate, parse, repair, and abuse the PDF format. It supports reading and write PDFs, including creating from scratch. Thanks to QPDF, it supports linearizing PDFs and access to encrypted PDFs. -
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Copy Fail - CVE-2026-31431
epository that demonstrates and analyzes a Linux kernel vulnerability
...The project provides experimental scripts and documentation to reproduce and study the exploit in controlled environments. It is designed for security researchers and engineers who want to understand the mechanics of the vulnerability. The repository includes tested configurations across multiple Linux distributions and kernel versions. It emphasizes reproducibility and technical clarity in demonstrating the issue. The project serves as both a research tool and an educational resource for vulnerability analysis. ... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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xbar Plugins
Plugin repository for xbar (the BitBar reboot)
...Plugin authors can contribute their own scripts so others can install and use them through xbar. The project is practical because xbar can turn almost any script output into a menu bar item. It is best suited for macOS users who want lightweight, customizable, script-driven information in their menu bar. -
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Mistral Inference
Official inference library for Mistral models
Open and portable generative AI for devs and businesses. We release open-weight models for everyone to customize and deploy where they want it. Our super-efficient model Mistral Nemo is available under Apache 2.0, while Mistral Large 2 is available through both a free non-commercial license, and a commercial license. -
12
blinker-py
Blinker python library for hardware. Works with Raspberry Pi
...It supports common IoT communication patterns such as Wi-Fi, MQTT, WebSocket, and BLE-related platform workflows. The project is useful for makers, students, and hardware developers who want a faster way to connect sensors, switches, relays, and small automation projects to a mobile control panel. It is best suited for lightweight IoT prototyping rather than large industrial deployments. -
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GitHub520
Community-maintained approach to improving access to GitHub services
...The project’s goal is pragmatic: improve developer productivity by mitigating timeouts and slow asset retrieval during cloning, package installs, or browsing. It is intended for users who understand the implications of hosts modifications and want a reversible, client-side tweak. While simple in concept, it has become a widely referenced workaround for network constraints affecting developer workflows. -
14
YOLOv9
Learning What You Want to Learn Using Programmable Gradient Info
YOLOv9 is the official implementation of the paper “YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.” It is a modern object detection repository focused on improving how deep networks preserve useful information during training. The project introduces Programmable Gradient Information and the GELAN architecture to improve gradient flow, parameter efficiency, and train-from-scratch performance. -
15
Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
...All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. You can find them here. As this project has evolved, many new features have been added. If you are already familiar with graph-notebook but want a quick summary of new features added, a good place to start is the Air-Routes notebooks in the 02-Visualization folder. -
16
PyJNIus
Access Java classes from Python
Pyjnius is a Python library for accessing Java classes. A Python module to access Java classes as Python classes using the Java Native Interface (JNI). Warning: the pypi name is now pyjnius instead of jnius. When you use autoclass, it will discover all the methods and fields of the class and resolve them. You can use the signatures method of JavaMethod and JavaMultipleMethod, to inspect the discovered signatures of a method of an object. -
17
Rasa
Open source machine learning framework to automate text conversations
...In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed. Rasa enables you to build assistants that can do this in a scalable way. Rasa uses Poetry for packaging and dependency management. If you want to build it from the source, you have to install Poetry first. By default, Poetry will try to use the currently activated Python version to create the virtual environment for the current project automatically. -
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Knowledge Work Plugins
Open source repository of plugins intended for knowledge workers
...Its goal is to help agents perform repeatable knowledge work with clearer expectations, domain constraints, and workflow patterns. The project is best suited for teams that want reusable AI work instructions without building a full application around them. -
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Papis
Powerful and highly extensible command-line based document
...Papis uses a human-readable and easily hackable .yaml file to store each entry's bibliographical data. It strives to be easy to use while providing a wide range of features. And for those who still want more, Papis makes it easy to write scripts that extend its features even further. -
20
Face Alignment
2D and 3D Face alignment library build using pytorch
...While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage. -
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Boltons
250+ constructs, recipes, and snippets which extend the Python library
Boltons is a set of pure-Python utilities in the same spirit as, and yet conspicuously missing from, the standard library. Due to the nature of utilities, application developers might want to consider other integration options. Boltons is tested against Python 2.6-2.7, 3.4-3.7, and PyPy. The majority of boltons strive to be “good enough” for a wide range of basic uses, leaving advanced use cases to Python’s myriad specialized 3rd-party libraries. In many cases the respective boltons module will describe 3rd-party alternatives worth investigating when use cases outgrow boltons. ... -
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Professional Programming
A collection of learning resources for curious software engineers
...Because it has been maintained for many years, it also acts as a kind of “canon” of articles that many engineers reference throughout their careers. The repository is especially helpful for self-taught developers or those transitioning from junior to senior roles who want a structured reading roadmap instead of random blog posts. -
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Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
...The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features, idioms, and good style practices (including linting and PEP8). Because it is organized in bite-sized chunks, it’s ideal for beginners or people refreshing their Python skills who want to revisit syntax and common patterns before moving into larger frameworks or applications. It also supports usage as a reference: if you forgot how a list comprehension works or how decorators behave, you can quickly open the relevant script. -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
...The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work. -
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kubectl-aliases
Programmatically generated handy kubectl aliases
...This dramatically speeds up interactive Kubernetes workflows, especially when you spend a lot of time inspecting pods, services, deployments, and logs. The repository also includes a Python script used to generate the aliases, which advanced users can tweak if they want a custom alias set. It is distributed under the Apache-2.0 license and is widely used by Kubernetes practitioners.
