Open Source Python Software Development Software - Page 66
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Python Software Development Software
View 6114 business solutionsBrowse free open source Python Software Development Software and projects below. Use the toggles on the left to filter open source Python Software Development Software by OS, license, language, programming language, and project status.
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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HDL Checker
Repurposing existing HDL tools to help writing better code
HDL Checker is a language server that wraps VHDL/Verilg/SystemVerilog tools that aims to reduce the boilerplate code needed to set things up. It supports Language Server Protocol or a custom HTTP interface; can infer the library VHDL files likely to belong to, besides working out mixed language dependencies, compilation order, interpreting some compiler messages and providing some (limited) static checks. Notice that currently, the unused reports has caveats, namely declarations with the same name inherited from a component, function, procedure, etc. -
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HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
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Hoea is a python module for hierarchical ontology enrichment analysis, which facilitated GO (Gene Ontology)/KO (KEGG Orthology) enrichment analysis at any desktop.
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HTML DOM Parser
HTML parser which can be used for screen-scraping applications
htmldom parses the HTML file and provides methods for iterating and searching the parse tree in a similar way as Jquery. To report bugs please mail me at bhimsen.pes@gmail.com -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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HT Strings is a pythonic implementation of the old HyperTalk string handling mechanism. Allows substrings to be selected via words, lines, items, etc. NOTE: These result in a substring...NOT a list of words or lines (although that can be done too).
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HTTP Prompt
An interactive command-line HTTP and API testing client
HTTP Prompt is an interactive command-line HTTP client featuring autocomplete and syntax highlighting. You'll never have to memorize the whole commands and HTTP headers thanks to autocomplete with fuzzy matching. Improve readability by rendering JSON, HTML and commands with 27 builtin color themes, borrowed from Pygments. Designed to work with and built on top of HTTPie, HTTP Prompt makes a perfect companion for HTTPie. Cookie-based authentication made easy as incoming cookies are automatically set into your next request. With pipelines and output redirection, HTTP Prompt works seamlessly with your existing command line tools such as jq. Specify an OpenAPI/Swagger specification then you'll be able to explore API endpoints with ls like a filesystem. -
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HTTPie CLI
Modern, user-friendly command-line HTTP client for the API era
HTTPie (pronounced aitch-tee-tee-pie) is a command-line HTTP client. Its goal is to make CLI interaction with web services as human-friendly as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers. The HTTP & HTTPS commands allow for creating and sending arbitrary HTTP requests. They use simple and natural syntax and provide formatted and colorized output. -
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HYBRYD
Library written in C with Python API for IPv6 networking
This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as possible so that you can download pieces of codes. The aim of that coding was to use primary linux commands easily codable and make an object of an IPv6 connection. Moreover, the model is full-state! -
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Hali-sy is a Meta project that is aimed at fully supporting the Arabic language for most popular open-source projects
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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The Hammerlib is a JSLib to be used in Zope/Plone Applications. This includes Ajax, Drag n Drop and more cool functions.
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Python scripts that help you pull out hardcoded strings from your source codes and represent them as a .csv table. You can then write localized versions of those strings and put them back into your code. Currently supports: .php, .js, .html, .sql
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Gathering requirements should be fun. It's the brainstorming process refined. It shouldn't get in the way of productivity or creativity. Harvest is about gathering requirements in the most intuitive, least intrusive way possible.
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Headscale-WebUI
A simple Headscale web UI for small-scale deployments
A simple Headscale web UI for small-scale deployments. -
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Healthchecks
A cron monitoring tool written in Python & Django
We notify you when your nightly backups, weekly reports, cron jobs, and scheduled tasks don't run on time. Healthchecks is a cron job monitoring service. It listens for HTTP requests and email messages ("pings") from your cron jobs and scheduled tasks ("checks"). When a ping does not arrive on time, Healthchecks sends out alerts. Healthchecks comes with a web dashboard, API, 25+ integrations for delivering notifications, monthly email reports, WebAuthn 2FA support, and team management features: projects, team members, and read-only access. On Healthchecks.io, generate a unique ping URL for your background job. When your job does not ping Healthchecks.io on time, Healthchecks.io alerts you! Update your job to send an HTTP request to the ping URL every time the job runs. A list of your checks, one for each Cron job, daemon or scheduled task you want to monitor. Give names and assign tags to your checks to easily recognize them later. -
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HemenKur diğer dağıtımların paketlerini Pardus GNU/Linux'a "hemen kuran" bir programdır! HemenKur is a program that takes other distribution-specific packages and installs them in Pardus GNU/Linux.
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Hera
Hera is an Argo Python SDK
Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so parameter updates can be treated as differentiable operations. It also provides differentiable implementations of common optimizers like SGD and Adam, making it possible to backpropagate through an arbitrary number of inner-loop optimization steps. By offering a clear and flexible interface, higher simplifies building complex learning algorithms that require gradient tracking across multiple update levels. Its design ensures compatibility with existing PyTorch models. -
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HiveMind Java Web Application Cloud IDE
Web development IDE in browser, supports Java, ruby, javascript...etc
HiveMind is a browser based web development that combines an application container (jetty), a middleware and a developer environment that runs in the browser. It runs on the jvm so you are not limited by environment. You can run it on your laptop, company server or even on a cloud service like AWS. It supports Java, Ruby, Python, JavaScript, Groovy, Clojure. Source include so it is easy to hack so you can modify it for your own need. -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. 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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Highly Object Oriented Language This is an attempt to develop a new third generation general purpose programming language for x86 and x86_64 processor which tries to integrate maximum possible object oriented concepts.
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Hornet is a tool to browse and build MySQL databases, with the ability to connect to remote servers. It intends in the future to provide the capability to generate PHP-based interfaces to MySQL databases.
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. Start scaling your model training with just a few lines of Python code. Scale up to hundreds of GPUs with upwards of 90% scaling efficiency.
