Open Source Python Software - Page 68
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Browse free open source Python Software and projects below. Use the toggles on the left to filter open source Python Software by OS, license, language, programming language, and project status.
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auto-cpufreq
Automatic CPU speed & power optimizer for Linux
Automatic CPU speed & power optimizer for Linux. Actively monitors laptop battery state, CPU usage, CPU temperature, and system load, ultimately allowing you to improve battery life without making any compromises. -
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book-to-skill
Turn any technical book PDF into a Claude Code skill
book-to-skill is a Claude Code skill that turns technical books and documents into reusable AI reference skills. It extracts content from PDFs and EPUBs, then organizes the material so an assistant can study, reference, and apply it while working. The project is useful for transforming dense manuals, textbooks, internal documentation, or technical guides into practical agent-accessible knowledge. It includes an extraction script and a SKILL.md workflow that guides how the resulting content should be used. The goal is not simply to summarize a book, but to make its knowledge available during problem solving and implementation. book-to-skill is best suited for developers and researchers who want AI assistants to work from specific long-form source material. -
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changedetection.io
The best free open source website change detection and restock service
Loved by smart shoppers, data journalists, research engineers, data scientists, security researchers, and more. From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the browser steps configuration, add basic steps before performing change detection, such as logging into websites, adding a product to a cart, accepting cookie logins, entering dates, and refining searches. Monitor and track PDF file changes, and know when a PDF file has text changes. Know when your favourite product is on sale, or other special deals are announced before anyone else. Detect and monitor changes in JSON API responses. -
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cheat.sh
The only cheat sheet you need
cheat.sh is a compact, network-accessible cheat-sheet service that serves concise examples and usage notes for hundreds of shell commands, programming languages, and tools via a simple HTTP interface. You can query it from the terminal (for example curl cht.sh/rsync or curl cheat.sh/ls) or browse the web front page; it also supports a shorthand hostname (cht.sh) and provides both online and standalone/local installation modes. The repository contains the server and client code, instructions to run a local standalone instance (including Python virtualenv setup), and tooling to fetch or maintain the upstream cheat-sheet data; installation documentation explains disk-space needs and dependency setup for offline use. Cheat.sh is intentionally minimal and scriptable, so it fits naturally into shells, CI scripts, editors, and quick lookups without leaving the terminal, while also offering ways to extend or host personal cheat sheets. -
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django-import-export
Django application and library for importing and exporting data
django-import-export is a Django application and library for importing and exporting data with included admin integration. Support multiple formats (Excel, CSV, JSON, and everything else that tablib supports) Admin integration for importing. Preview import changes. Admin integration for exporting. Export data respecting admin filters. By default all records will be imported, even if no changes are detected. This can be changed setting the skip_unchanged option. Also, the report_skipped option controls whether skipped records appear in the import Result object, and if using the admin whether skipped records will show in the import preview page. Not all data can be easily extracted from an object/model attribute. In order to turn complicated data model into a (generally simpler) processed data structure on export, dehydrate_<fieldname> method should be defined. -
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dm_control
DeepMind's software stack for physics-based simulation
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo physics. The MuJoCo Python bindings support three different OpenGL rendering backends: EGL (headless, hardware-accelerated), GLFW (windowed, hardware-accelerated), and OSMesa (purely software-based). At least one of these three backends must be available in order render through dm_control. Hardware rendering with a windowing system is supported via GLFW and GLEW. On Linux these can be installed using your distribution's package manager. "Headless" hardware rendering (i.e. without a windowing system such as X11) requires EXT_platform_device support in the EGL driver. While dm_control has been largely updated to use the pybind11-based bindings provided via the mujoco package, at this time it still relies on some legacy components that are automatically generated. -
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dstack
Open-source tool designed to enhance the efficiency of workloads
dstack is an open-source tool designed to enhance the efficiency of running ML workloads in any cloud (AWS, GCP, Azure, Lambda, etc). It streamlines development and deployment, reduces cloud costs, and frees users from vendor lock-in. -
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gemini-web2api
Convert Google Gemini web into OpenAI-compatible API
gemini-web2api is a Python bridge that exposes Google Gemini web access through OpenAI-compatible API endpoints. It is designed to let OpenAI-style clients connect to Gemini-like models through routes such as chat completions, models, responses, and native Gemini-compatible endpoints. The project can run as a simple local server and uses a mostly single-file design with an optional dependency for streaming. It supports model aliases for Flash, Thinking, Pro-style routing, Auto, and Lite variants. The tool also includes optional API keys, function calling, SSE streaming, web search access, Docker deployment, and client examples for OpenAI SDK-style usage. It is useful for developers who want local experimentation with OpenAI-compatible tooling while routing requests through Gemini web behavior. -
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iPhone Use
Let Codex operate a real iPhone via USB
iPhone Use is an open-source automation tool that allows AI coding agents to operate physical iPhones connected to a Mac through USB. It uses WebDriverAgent and a local Model Context Protocol server to enable device interaction without jailbreaking. The software lets agents launch applications, navigate interfaces, read screen content, and perform taps, swipes, and dragging gestures. It supports Unicode text entry, automated task sequences, and scrolling through lengthy lists. A live device preview provides visual feedback and allows users to interact directly with the connected phone. The system includes guided device setup, connection recovery, and screenshot-based error handling. iPhone Use integrates with Codex, WorkBuddy, and Doubao Work for mobile application testing and assisted device workflows. -
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marimo
A reactive notebook for Python
marimo is an open-source reactive notebook for Python, reproducible, git-friendly, executable as a script, and shareable as an app. marimo notebooks are reproducible, extremely interactive, designed for collaboration (git-friendly!), deployable as scripts or apps, and fit for modern Pythonista. Run one cell and marimo reacts by automatically running affected cells, eliminating the error-prone chore of managing the notebook state. marimo's reactive UI elements, like data frame GUIs and plots, make working with data feel refreshingly fast, futuristic, and intuitive. Version with git, run as Python scripts, import symbols from a notebook into other notebooks or Python files, and lint or format with your favorite tools. You'll always be able to reproduce your collaborators' results. Notebooks are executed in a deterministic order, with no hidden state, delete a cell and marimo deletes its variables while updating affected cells. -
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mcp-memory-service
Open-source persistent memory for AI agent pipelines
MCP Memory Service is an open-source persistent memory platform that helps AI assistants and autonomous agents retain knowledge across conversations and execution sessions. It supports the Model Context Protocol and REST APIs for integration with Claude, coding assistants, and agent frameworks. The system stores decisions, notes, project information, and structured relationships in configurable storage backends. Hybrid semantic and keyword search retrieves relevant memories using contextual similarity and filtering. An automated consolidation process identifies related information, compresses redundant records, and manages outdated knowledge. Its knowledge graph connects entities and relationships for deeper contextual retrieval. The service also supports document ingestion, automatic session capture, and confidence-scored beliefs. Storage options include SQLite, Cloudflare, and Milvus. -
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mozregression
Regression range finder for Mozilla nightly builds
mozregression is a free, open-source debugging tool designed to identify when software regressions were introduced into Mozilla applications. It automatically downloads and tests historical nightly and integration builds to narrow down the source of a bug. Users specify a date range or known working and broken versions to begin an investigation. The software uses binary search to reduce the number of builds requiring manual testing. During each step, users indicate whether the issue appears in the tested build. It then identifies a smaller regression range and can report relevant changesets for developers. mozregression provides graphical and command-line interfaces for different workflows. Available for Windows, macOS, and Linux, it helps testers and developers investigate Firefox and other supported Mozilla software regressions. -
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npm-clang-format-node
Node repackaging(wrapping) of the LLVM Clang's clang-format
A Node.js package that integrates the clang-format tool for formatting C, C++, and JavaScript code, enhancing code quality and consistency. -
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pydantic
Data parsing and validation using Python type hints
Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; validate it with pydantic. id is of type int; the annotation-only declaration tells pydantic that this field is required. Strings, bytes or floats will be coerced to ints if possible; otherwise an exception will be raised. name is inferred as a string from the provided default; because it has a default, it is not required. signup_ts is a datetime field which is not required (and takes the value None if it's not supplied). pydantic will process either a unix timestamp int (e.g. 1496498400) or a string representing the date & time. friends uses python's typing system, and requires a list of integers. As with id, integer-like objects will be converted to integers. -
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python-proxy
HTTP/HTTP2/HTTP3/Socks4/Socks5/Shadowsocks/ShadowsocksR/SSH
python-proxy, also known as pproxy, is a lightweight proxy tool written in Python for flexible local and remote traffic forwarding. It supports multiple proxy protocols, making it useful for developers, testers, and network administrators who need a compact proxy layer without a heavy service stack. The project can operate as a client, server, forward proxy, reverse proxy, or protocol bridge depending on how it is configured. It supports HTTP, SOCKS4, SOCKS5, Shadowsocks, and newer transport options such as HTTP/2, HTTP/3, and QUIC when the required dependencies are installed. python-proxy also includes SSL-related options, chaining behavior, and multiple connection modes for advanced routing setups. Its main value is giving users a scriptable, portable, and protocol-diverse proxy utility in a Python ecosystem. -
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ruff-pre-commit
A pre-commit hook for Ruff
ruff-pre-commit is a lightweight integration that enables the Ruff linter and formatter to run automatically as part of Git pre-commit hooks, ensuring code quality checks are enforced before changes are committed to a repository. It is distributed as a standalone repository to simplify installation and allow developers to use prebuilt wheels directly from package managers. By integrating Ruff into the pre-commit workflow, it helps maintain consistent coding standards across teams by automatically detecting and optionally fixing issues before code reaches the repository. The tool supports both linting and formatting hooks, allowing developers to configure workflows that enforce style and correctness in a single step. It also provides flexibility in configuration, including selective file type targeting and optional automatic fixes through command-line arguments. -
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segyio
Fast Python library for SEGY files
Segyio is a small LGPL-licensed C library for easy interaction with SEG-Y and Seismic Unix formatted seismic data, with language bindings for Python and Matlab. Segyio is an attempt to create an easy-to-use, embeddable, community-oriented library for seismic applications. Features are added as they are needed; suggestions and contributions of all kinds are very welcome. -
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stt
Voice Recognition to Text Tool
stt is a standalone speech recognition tool that locally converts spoken content in audio or video files into textual formats without requiring internet access, giving users control over their data and reducing reliance on external APIs. It leverages open-source speech models such as Faster-Whisper to recognize and transcribe human speech into plain text, structured JSON objects, or subtitle files with time codes, making it suitable for both personal and professional transcription tasks. The project is designed to be easy to deploy: you can run a local Python server that exposes an HTTP API for uploading audio/video files and retrieving transcriptions in different formats. It supports GPU acceleration if available, enabling faster processing on compatible hardware but still offers reliable performance on CPUs alone. -
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surpriver
Find big moving stocks before they move using machine learning
surpriver is a machine learning project designed to identify unusual stock market activity that may precede large price movements. The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity. These anomalies are interpreted as signals that a stock may soon experience a major upward or downward move. The framework includes modules for retrieving market data, computing technical indicators, and applying anomaly detection algorithms to identify unusual patterns. The project is intended as a research tool for quantitative finance experiments and algorithmic trading strategy development. -
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uAgents
A fast and lightweight framework for creating decentralized agents
uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events. -
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wger
Self hosted FLOSS fitness/workout, nutrition and weight tracker
wger Workout Manager is a free and open web application that manages your exercises, routines and nutrition. It started out as a personal project to replace my growing collection of spreadsheets but has turned into something that other people may find useful. You can create and manage flexible training routines for whatever goals you have. Select exactly what exercises you are going to do and how many repetitions, time or distance you want to do. You can also combine different workouts in the same program. Create your personal diet plan by creating as many meals with as many different ingredients as you need. The application will calculate the nutritional values (total energy, proteins, carbohydrates, etc.) of the entire plan and of each of the meals. Enter the weights and reps you've done for each exercise to generate diagrams that let you see at a glance how well you're doing. Of course, the raw numbers are still accessible. -
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EpiDoc: Epigraphic Documents in TEI XML
XML text markup for ancient documents
The EpiDoc Collaborative is developing specifications and tools for standards-based, digital publication and interchange of scholarly and educational editions of documentary and literary texts like inscriptions and papyri. The link below will take you to the EpiDoc home page on this site. -
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iPodder is a media aggregator which automatically downloads files to your computer or portable device, leaving you 'one-click-away' from latest media feeds. Based on the iPodder idea of Adam Curry.
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pfeMAME
Python front end for MAME that can run in Linux, Windows, and MacOS
pfeMAME is a front end for the Multiple Arcade Game Emulator (MAME) written in (wx)Python. It is cross platform (tested on Linux (Ubuntu), Windows (7, 8, 10, 11), and MacOS. ). It also includes a graphical Tile View designed for MAME cabinets which allows control using joystick / gamepad. It supports favourite game flagging, MESS systems, Software Lists (for systems), per-rom input mapping, and launching of other emulation engines. pfeMAME was written by Gareth Finch and the development project started in 2014 . The goal was to create a MAME front end that was simple, as easy as possible to get into, and had some good documentation. It doesn't provide access to every single MAME option, but pretty much all of the relevant ones you will use from day-to-day. You are free to distribute pfeMAME and modify its source as you wish, however pfeMAME is not to be sold or repackaged for commercial sale. -
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KeyGen
Cards based password storer
Forgot your password or want to create new one that can never be guessed? That's KeyGen is for: make you not to remember all these passwords for countless amount of services. KeyGen provides cards based interface which makes the app easy to deal with.
