Open Source Linux Software Development Software - Page 86
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Software Development Software for Linux
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LINE Messaging API SDK for Python
LINE Messaging API SDK for Python
The LINE Messaging API SDK for Python makes it easy to develop bots using LINE Messaging API, and you can create a sample bot within minutes. You must upload a rich menu image and link the rich menu to a user for the rich menu to be displayed. You can create up to 1000 rich menus for one LINE Official Account with the Messaging API. The LINE Messaging API SDK for Python includes experimental asyncio support. (API may change without notice in a future version). Send push messages to multiple users at any time. Messages cannot be sent to groups or rooms. Get progress status of narrowcast messages sent. Gets the user IDs of the members of a room that the bot is in. This includes the user IDs of users who have not added the bot as a friend or has blocked the bot. Get the number of users who have added the bot on or before a specified date. -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. It supports multiple providers including OpenAI, Anthropic, Google, and local models, offering a unified interface for interacting with different backends. LangChainGo also includes support for embeddings, semantic search, and retrieval-augmented generation, enabling developers to build data-aware applications. With built-in abstractions for agents and tool usage, it enables the creation of systems that can reason, take actions, and interact with their environment. -
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Larastan
Adds code analysis to Laravel improving developer productivity
Larastan was created by Can Vural and Nuno Maduro, got artwork designed by @Caneco, is maintained by Can Vural, Nuno Maduro, and Viktor Szépe, and is a PHPStan wrapper for Laravel. Larastan focuses on finding errors in your code. It catches whole classes of bugs even before you write tests for the code. -
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Laravel Analytics
A Laravel package to retrieve pageviews and other data
One of our more popular packages is laravel-analytics. The package makes it easy to fetch information such as pageviews, top referrers, etc... from the Google Analytics API. In our Blender-based projects we use the fetched data to display a nice chart in the admin section. Laravel-analytics is one of the first packages we ever created. Since the first release the preferred way of authenticating with Google has changed. We also learned a lot on how to create readable code. That's why we did a cleanup of the code and published a new major version of the package. Once the package is installed this is how to retrieve visitor and pageview data for the past week. The first thing you’ll need to do is to get some credentials to use Google API’s. I’m assuming that you’ve already created a Google account and are signed in. Head over to Google API’s site and click "Select a project" in the header. -
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Laravel Forge SDK
The official Laravel Forge PHP SDK
The Laravel Forge SDK provides an expressive interface for interacting with Forge's API and managing Laravel Forge servers. -
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Laravel Location
Detect a users location by their IP Address
Retrieve a visitor's location from their IP address using various services. -
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Laravel Phone
Phone number functionality for Laravel
Adds phone number functionality to Laravel based on the PHP port of libphonenumber by Google. -
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Laravel Response Cache
Speed up a Laravel app by caching the entire response
This Laravel package can cache an entire response. By default, it will cache all successful get-requests that return text-based content (such as HTML and json) for a week. This could potentially speed up the response quite considerably. So the first time a request comes in the package will save the response before sending it to the users. When the same request comes in again we're not going through the entire application but just respond with the saved response. -
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Laravel Scout
Provides a driver based solution to searching your Eloquent models
Laravel Scout provides a simple, driver-based solution for adding full-text search to your Eloquent models. Once Scout is installed and configured, it will automatically sync your model changes to your search indexes. -
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LibPDF
A modern PDF library for TypeScript
LibPDF-js/core is a modern, TypeScript-first PDF processing library that provides a comprehensive toolkit for parsing, modifying, and generating PDF documents with a clean, intuitive API designed to handle real-world files safely and robustly. Unlike many existing JavaScript PDF libraries, it emphasizes lenient parsing that can gracefully handle malformed structures and fallback strategies where typical parsers fail, making it useful for production environments that encounter unpredictable file formats. The library offers full read and write manipulation, including support for encryption with RC4 and modern AES cipher suites, form filling and flattening, digital signature creation and verification, page merging/splitting, rich text extraction with layout information, and font embedding with subsetting. -
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Lingo.dev
AI localization toolkit for web & mobile
Lingo.dev is an AI-powered localization platform designed to automate and streamline the translation process for web and mobile applications. It integrates seamlessly with development workflows, automating translations upon code commits to ensure high-quality results without manual intervention. The platform offers Git-native UI localization, enabling automated pull requests that keep translations synchronized within CI/CD pipelines. For dynamic and user-generated content, Lingo.dev provides real-time translation through its API and SDK, incorporating context awareness for accurate localization. Its composable infrastructure supports full-stack localization across product interfaces, marketing sites, automated emails, and dynamic content from the outset. Users can customize translations to reflect their brand's unique voice and industry-specific terminology, with advanced options suitable for scaling teams. -
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Lingui.js
A readable, automated, and optimized (3 kb) internationalization
JavaScript library for internalization (i18n) of JavaScript projects, including React, Vue, Node.js, and Angular. Use it everywhere. Lingui.js provides the essential intl functionality that works in any JavaScript project, and offers components for leveraging React rendering. Manage the whole intl workflow using Lingui CLI. It extracts messages from source code, validates messages from translators, and checks that all messages are translated before shipping to production. Use React components inside localized messages without any limitations. Writing rich-text messages is as easy as writing JSX. For AI to do great translations for you, context is critical. Translating UI copy is difficult because it's usually a list of short strings without enough context. Lingui's localization formats allow developers to write descriptions of where and how your keys are used. -
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Linux Command Library (Mobile+CLI+Web)
1M downloads Linux reference app with basics, tips and formatted pages
The app currently has 5547 manual pages, 22+ basic categories and a bunch of general terminal tips. It works 100% offline, doesn't need an internet connection and has no tracking software. -
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Lucky
A full-featured Crystal web framework that catches bugs for you
Lucky is a web framework written in Crystal. It helps you work quickly, catch bugs at compile time, and deliver blazing-fast responses. Lucky is extremely fast and uses very little memory. You and your users will love the extra dose of speed. Authentication, asset management, CORS, database ORM, and more can all be included when creating a new Lucky project. Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. The classes map the routes and parameters it handles to a response block. Lucky can generate these classes for you with ’lucky gen.action`. Using a class per action provides very solid automatic error detection, as well as the generation of routing, path, and link helpers and methods. -
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Lunatik
Lunatik is a framework for scripting the Linux kernel with Lua
Lunatik is a framework for scripting the Linux kernel with Lua. It is composed by the Lua interpreter modified to run in the kernel; a device driver (written in Lua =)) and a command line tool to load and run scripts and manage runtime environments from the user space; a C API to load and run scripts and manage runtime environments from the kernel; and Lua APIs for binding kernel facilities to Lua scripts. -
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MATLAB Schemer
Apply and save color schemes in MATLAB with ease
MATLAB Schemer is a utility that makes it simple to import, apply, and export color scheme themes for MATLAB’s user interface and editor. It enables transferring customized themes between MATLAB installations or sharing color schemes among users. This MATLAB package makes it easy to change the color scheme (a.k.a. theme) of the MATLAB display and GUI. Color schemes can be easily imported by running schemer_import at the MATLAB command prompt, without needing any inputs. This will open a GUI to select the file to import the color scheme from. If you are using a personalised color scheme in MATLAB, you may wish to save it for yourself so you can re-implement it easily if you reintall MATLAB. Or you may wish to transfer your personalised color scheme from one machine to another. This section describes the steps relevant in either scenario. -
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MIDWAY
Serverless Framework for front-end/full-stack developers
A Node.js serverless framework for front-end/full-stack developers. Build the application for next decade. Works on AWS, Alibaba Cloud, Tencent Cloud, and traditional VM/Container. Super easy integrate with React and Vue. There are many similar frameworks in the community, so why do you need Midway? Midway is a framework that Alibaba has been developing continuously. Before egg was used as the underlying framework, an application-oriented framework was required to connect with the group's scenarios. The full use of TypeScript is the trend for a period of time in the future, and iterating and developing for the future is a requirement for the innovation of the architecture team. Although the community already has a framework like Nest, the maintenance, collaboration, and modification of these products will be restricted by commercial products, and it is impossible to achieve rapid iteration and security assurance of requirements. The overall R&D concept is also different from ours. -
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ML Manager 1.X
A modern, easy and customizable app manager for Android with Material
A modern, easy and customizable APK extractor & app manager for Android that allows you to extract any installed and system app, mark them as favorite, share .apk files easily and much more. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that automates the process of building best performing models for your Machine Learning scenario. All you have to do is load your data, and AutoML takes care of the rest of the model building process. ML.NET has been designed as an extensible platform so that you can consume other popular ML frameworks (TensorFlow, ONNX, Infer.NET, and more) and have access to even more machine learning scenarios, like image classification, object detection, and more. -
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Make It heavy
A Python framework that emulates Grok Heavy functionality
Make It heavy is a Python framework for producing deeper AI analysis through multi-agent orchestration. It is designed to emulate the style of Grok Heavy by splitting a user query into several specialized research angles. The system runs four agents in parallel so each one can explore the problem from a different perspective. It then combines their outputs into one unified answer through an intelligent synthesis step. The framework uses OpenRouter for model access and can also run in single-agent mode for simpler tasks. Overall, it is useful for users who want broader research coverage, richer reasoning diversity, and structured multi-agent responses from one command-line workflow. -
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Maltrail
Malicious traffic detection system
Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user-defined lists, where trail can be anything from domain name, URL, IP address (e.g. 185.130.5.231 for the known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). Also, it uses (optional) advanced heuristic mechanisms that can help in the discovery of unknown threats (e.g. new malware). Sensor(s) is a standalone component running on the monitoring node (e.g. Linux platform connected passively to the SPAN/mirroring port or transparently inline on a Linux bridge) or at the standalone machine (e.g. Honeypot) where it "monitors" the passing Traffic for blacklisted items/trails (i.e. domain names, URLs and/or IPs). -
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Material Dashboard 2
Open Source Bootstrap 5 Material Design Admin
The most complex and innovative Dashboard Made by Creative Tim. Check our latest Freebie Bootstrap 5 Dashboard with a fresh, new design inspired by Google's Material Design 2. Designed for those who like bold elements and beautiful websites, Material Dashboard 2 is ready to help you create stunning websites and web apps. We created many examples for pages like Sign In, Notifications, Profile, and so on. Just choose between a Basic Design, an illustration, or a cover and you are good to go. Material Dashboard 2 is built with over 60 frontend individual elements, like buttons, inputs, navbars, nav tabs, cards, or alerts, giving you the freedom of choosing and combining. All components can take variations in color, which you can easily modify using SASS files and classes. -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. Gain the lowest memory usage when inferencing a model by leveraging our unique pushdown memory planner. NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference. -
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Meridian
Meridian is an MMM framework
Meridian is a comprehensive, open source marketing mix modeling (MMM) framework developed by Google to help advertisers analyze and optimize the impact of their marketing investments. Built on Bayesian causal inference principles, Meridian enables organizations to evaluate how different marketing channels influence key performance indicators (KPIs) such as revenue or conversions while accounting for external factors like seasonality or economic trends. The framework provides a robust foundation for constructing in-house MMM pipelines capable of handling both national and geo-level data, with built-in support for calibration using experimental data or prior knowledge. Meridian uses the No-U-Turn Sampler (NUTS) for Markov Chain Monte Carlo (MCMC) sampling to produce statistically rigorous results, and it includes GPU acceleration to significantly reduce computation time. -
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Meteor
Meteor, the JavaScript App Platform
Meteor is a full-stack JavaScript framework that streamlines building real-time web and mobile applications from a single codebase. It couples a Node.js backend with a reactive data system so UI updates propagate automatically when data changes. The framework popularized DDP (a lightweight pub/sub protocol) and a client cache (Minimongo) to mirror server collections on the client for latency-compensated interactions. A batteries-included build system, package ecosystem, and opinionated project structure reduce setup time for accounts, methods, publications, and UI integration. Historically paired with Blaze, Meteor also works well with modern front-end libraries like React, Vue, or Svelte for rendering. Its dev experience focuses on hot reloads, rapid prototyping, and predictable data flow, making it attractive for teams that want real-time features without stitching together many separate tools.
