Search Results for "python code editor" - Page 71
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Showing 2969 open source projects for "python code editor"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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ANGie
Alice Next Generation (internet entity)
An AIML based chat bot building on the original Alice AIML 1.0.1 set produced by Dr. Wallace and the ALICE AI Foundation and the PyAIML code base written by Cort Stratton, the ANGie project incorporates additional AIML sets, adds its own AIML to the set, adds new AIML tags and additional code to provide more dynamic responses and more logical case-based-reasoning. Reading through most AIML sets it seems like the authors' intention was to have a response to every input that a bot has ever... -
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etplc
Check security Threats on your Web or Proxy logs
...Started a new Open Source project for Checking Proxy Logs with Emerging Threats Open rules. It's a production ready version, all feedback is welcome. New version based on Python (v3 and v2) script. Thx you Emerging Threats Open Community. Etplc project src code are under the GPLv2. A copy of that license is available at http://www.gnu.org/licenses/gpl-2.0.html -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ... -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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AI-Blocks
A powerful and intuitive WYSIWYG to create Machine Learning models
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models! The concept of AI-Blocs is to have a simple scene with draggable objects that have scripts attached to them. The model can be run directly on the editor or be exported to a standalone script that runs on Tensorflow. Variables are parsed from python scripts and can be edited from the AI-Blocs properties panel. To run your model simply press the "Play" button and let the magic happen! The project requires Python and Tensorflow to run projects. You can still create and edit projects without these dependencies. ... -
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icemac.addressbook
Multi user address book application accessable through the web.
Multi user address book application accessable through the web. Store, edit, search and export addresses, phone numbers, … using a web browser. Code moved to https://bitbucket.org/icemac/icemac.addressbook Documentation see https://icemacaddressbook.readthedocs.io/en/latest/ New releases (after 6.0.2) see https://pypi.org/project/icemac.addressbook/#history -
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pycodestyle
Simple Python style checker in one Python file
pycodestyle (formerly pep8) is a tool to check your Python code against some of the style conventions in PEP 8. This package used to be called pep8 but was renamed to pycodestyle to reduce confusion. Plugin architecture, adding new checks is easy. Parseable output, jump to error location in your editor. Just one Python file, requires only stdlib. You can use just the pycodestyle.py file for this purpose. -
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Piplin
Open source self-hosted continuous integration and deployment system
Piplin (inspired by "pipeline", pronounced /ˈpɪpˌlɪn/ or /ˈpaɪpˌlaɪn/) is a free, open-source continuous integration and deployment system suitable for various application scenarios related to the automated construction, testing and deployment of software. Support the construction, testing and release of projects such as PHP, Python, JAVA, Ruby, etc. Can be integrated with code hosting platforms such as Gitlab, Github, Gogs, Gitee (Oschina). Flexibility to configure custom build and deployment steps. Support for custom build rules, create releases and deploy builds. Support multi-environment deployment of the project (you can create multiple environments such as development, testing, pre-release and production by yourself). ... -
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Grumpy
Grumpy is a Python to Go source code transcompiler and runtime
Grumpy is a Python-to-Go transcompiler and runtime designed as a near drop-in replacement for CPython 2.7 that compiles Python source to Go, then to native code. Instead of executing Python bytecode in a VM, Grumpy translates modules into Go code that calls a Go runtime library emulating Python semantics, which can yield performance and deployment benefits in Go ecosystems. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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chemfiles
Modern library for chemistry file reading and writing
Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with... -
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Construct2D
COmputational fluid dyNamics STRUctured grid CreaTor for 2D airfoils
...Elliptic grid generation is still available also. Smooth airfoil surface spacing is handled automatically with user-controlled clustering parameters. Also included is a visualizer written in Python with matplotlib. -
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Yi
The Haskell-Scriptable Editor
Yi is a flexible and extensible text editor written and configured entirely in Haskell. Designed for power users and Haskell developers, Yi provides Vim and Emacs-style keybindings and is customizable via Haskell code, not configuration files. It supports syntax highlighting, multiple editing modes, and efficient performance through a layered architecture. Yi showcases how editor components can be composed as reusable libraries within Haskell. -
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NyaoVim
Web-enhanced Extensible Neovim Frontend
This is a Neovim frontend built on Electron. The Neovim editor is composed as a Web Component and users can extend the UI with reusable Web Components, HTML, CSS and JavaScript. NyaoVim is built in the same spirit. NyaoVim contains the Neovim editor as a Web Component and extends its UI with web technology, as in other modern editors and IDEs (e.g. Atom, VS Code, LightTable). NyaoVim bundles no extended UI by default. -
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse... -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and... -
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QASreport
QASreport - is a multi-platform C ++ Qt library for building reports
QASreport - is a multi-platform C ++ Qt library that contains a set of classes for building reports. It is a mix of designer and report generator output means. It is intended to add to the application of automation to create, save, report output. Reports templates are stored in XML format. And can be stored and loaded from a file on disk, memory, or table blob fields. The library contains built-in designer, available in run-time, with the ability to work like a normal graphic editor.... -
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Laverna
JavaScript note taking application with Markdown editor
Laverna has a simple and robust markdown editor, which can help you write faster than ever before with our live markdown preview. The editor can be switched to distraction free mode where you can focus solely on writing notes. Make your notes available on any device with your Dropbox & RemoteStorage account. You can make your notes available only to you by enabling encryption. -
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Swagger Introduction & Examples
Introduction and Example for OpenAPI specification & Swagger
Introduction and Example for OpenAPI specification & Swagger Open Source Tools, including swagger-editor, swagger-codegen and swagger-UI. Auto generation example for client SDKs, server code, asciidoctor, and HTML documents. OpenAPI Specification (formerly Swagger Specification) is an API description format for REST APIs. An OpenAPI file allows you to describe your entire API. Swagger is a set of open-source tools built around the OpenAPI Specification that can help you design, build, document and consume REST APIs. ... -
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CuteCODE
A minimalistic open-source code editor written in pure Tcl/Tk
A minimalistic cross-platform code editor written in pure Tcl/Tk SOURCES: https://github.com/maksimKorzh/CuteCODE INFORMATION: CuteCODE is NOT released yet though I do already work in it in order to test it and just because this is great). Pre-alpha version with only FileSave/FileSaveAs feature is available at Files->CuteCODE.zip - please feel free to test it or at least give it a try. -
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CsBatch
Write C# code and run it as a you do with batch files
This program registers a .csbat file type. Run for the first time CsBatch.exe then chose the Settings->Register menu. When a .csbatch file is doubble-clicked, the content will be compiled as c# code and then run. The compilation output is a temporary dll. After execution the library is deleted. If you right click the .cdbat file and chose Edit a basic text file editor is opend. The code can also be developed in Visual Studio using basic .Net assemblies. No imports are allowed. Only the following references are available: System; System.IO; System.Collections.Generic; System.Linq; System.Text; System.Threading.Tasks; System.Windows.Forms; System.Diagnostics; -
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Pygorithm
A Python module for learning all major algorithms
A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument. -
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A Complete Beginner's Guide to Django
A Complete Beginner's Guide to Django - Code Samples
Code samples from the Django tutorial series. I’m starting a new tutorial series about Django fundamentals. It’s a complete beginner’s guide to start learning Django. The material is divided into seven parts. We’re going to explore all the basic concepts in great detail, from installation, and preparation of the development environment, models, views, templates, URLs to more advanced topics such as migrations, testing, and deployment. -
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Vimux
Easily interact with tmux from vim
vimux provides tight integration between Vim/Neovim and tmux so you can run shell commands, tests, and REPLs in a tmux pane without leaving the editor. It standardizes a set of actions—open a runner pane, send the current line or visual selection, rerun the last command, interrupt, and close—so the edit-run-inspect loop becomes muscle memory. You can keep your code in one window and a tmux pane dedicated to build or test output, toggling focus as needed. The plugin works well with language tooling and test runners, making it easy to wire project-specific commands to mappings. ... -
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CoffeeLint
Lint your CoffeeScript
coffeelint is a linter for CoffeeScript code, analyzing style, syntax, potential errors, and code consistency issues. It scans CoffeeScript files for patterns such as missing semicolons, inconsistent indentation, unused variables, suspicious constructs, and bad practices, and reports warnings or errors. The tool is configurable via a ruleset file so projects can tailor which rules to enforce and which to allow or warn only. Because CoffeeScript’s syntax can mask subtle errors or ambiguity, a... -
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A Whirlwind Tour of Python
The Jupyter Notebooks behind my OReilly report
...The material is aimed at people who already know how to program in another language and want to transition efficiently into idiomatic Python, particularly for research and analytical work. Each notebook mixes short explanations with executable code cells, encouraging readers to run, modify, and experiment with examples as they go. The project also backs a free O’Reilly report and an online version of the book, making it easy to read in the browser or work locally with the notebooks.
