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Showing 678 open source projects for "total"
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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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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ZPix
Zpix is a pixel font, supporting English and Traditional Chinese
Zpix is a pixel font, supporting English, Traditional Chinese, Simplified Chinese and Japanese. Char Total: 21998 (English/Traditional Chinese/Simplified Chinese/Japanese) -
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Multi Progress Bar
multi progress bar for Go cli applications
...Synchronized decorator's width among multiple bars. Elapsed time, ewma based ETA, Percentage, Bytes counter. Cancel the whole rendering process. Dynamically add or remove bars. Set the total while the bar is running. Multiple progress bars are supported. -
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Kimi K2
Kimi K2 is the large language model series developed by Moonshot AI
Kimi K2 is Moonshot AI’s advanced open-source large language model built on a scalable Mixture-of-Experts (MoE) architecture that combines a trillion total parameters with a subset of ~32 billion active parameters to deliver powerful and efficient performance on diverse tasks. It was trained on an enormous corpus of over 15.5 trillion tokens to push frontier capabilities in coding, reasoning, and general agentic tasks while addressing training stability through novel optimizer and architecture design strategies. ... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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RailsPanel
Chrome extension for Rails development
RailsPanel is a Chrome/Firefox extension for Rails development that will end your tailing of development.log. Have all information about your Rails app requests in the browser, in the Developer Tools panel. Provides insight to db/rendering/total times, parameter list, rendered views and more. Provides insight to db/rendering/total times, parameter list, rendered views, text editor integration and more. -
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Laravel Love
Add Social Reactions to Laravel Eloquent Models
Laravel Love is the emotional part of the application. It lets people express how they feel about the content. Make any model reachable in minutes. This package was developed in mind that it should cover all the possible use cases and be viable in enterprise applications. Fully customizable types of reactions. Any model can react to models and receive reactions at the same time. Reactants can have many types of reactions. Reacter can add many reactions to one reactant. Reacter can react with... -
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DeepSeek R1
Open-source, high-performance AI model with advanced reasoning
DeepSeek-R1 is an open-source large language model developed by DeepSeek, designed to excel in complex reasoning tasks across domains such as mathematics, coding, and language. DeepSeek R1 offers unrestricted access for both commercial and academic use. The model employs a Mixture of Experts (MoE) architecture, comprising 671 billion total parameters with 37 billion active parameters per token, and supports a context length of up to 128,000 tokens. DeepSeek-R1's training regimen uniquely integrates large-scale reinforcement learning (RL) without relying on supervised fine-tuning, enabling the model to develop advanced reasoning capabilities. This approach has resulted in performance comparable to leading models like OpenAI's o1, while maintaining cost-efficiency. ... -
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NBA Sports Betting Machine Learning
NBA sports betting using machine learning
...Using this dataset, the project constructs matchup features that represent team performance trends and contextual information about each game. Machine learning models are then trained to estimate the probability that a team will win a game as well as whether the total score will fall above or below the sportsbook’s predicted total. In addition to predicting outcomes, the project evaluates expected value to determine whether a potential bet offers a statistical advantage compared with sportsbook odds. -
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GLM-4.5
GLM-4.5: Open-source LLM for intelligent agents by Z.ai
GLM-4.5 is a cutting-edge open-source large language model designed by Z.ai for intelligent agent applications. The flagship GLM-4.5 model has 355 billion total parameters with 32 billion active parameters, while the compact GLM-4.5-Air version offers 106 billion total parameters and 12 billion active parameters. Both models unify reasoning, coding, and intelligent agent capabilities, providing two modes: a thinking mode for complex reasoning and tool usage, and a non-thinking mode for immediate responses. ... -
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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ShinyItemAnalysis
Test and Item Analysis via Shiny
ShinyItemAnalysis is an R package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters. Exploration of total and standard scores. Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models. Item analysis with IRT models. Detection of differential item functioning. Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports. ... -
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DISTRHO Cardinal
Virtual modular synthesizer plugin
A fully free and self-contained modular synthesizer, based on the popular VCV Rack. Available in AudioUnit/CLAP/LV2/VST2/VST3 plugin formats and as a standalone app for FreeBSD, Linux, macOS, Windows and the Web. -
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Harmony
Patching, replacing and decorating .NET and Mono methods
...It works great in games and is well established in titles like 7 Days To Die, BattleTech, Besiege, Cities:Skylines, Kerbal Space Program, Oxygen Not Included, Ravenfield, Rimworld, Sheltered, Stardew Valley, Staxel, Subnautica, The Ultimate Nerd Game, Total Miner, Unturned, SCP: Secret Laboratory and many more. If you develop in C# and your code is loaded as a module/plugin into a host application, you can use Harmony to alter the functionality of all the available assemblies of that application. Where other patch libraries simply allow you to replace the original method, Harmony goes one step further. ... -
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Chatterino 2
Chat client for Twitch
Chatterino 2 is a chat client for Twitch.tv. Commands are used as shortcuts for long messages. If a message starts with the "trigger" then the message will be replaced with the Command. Chatterino comes with a collection of built-in commands to help with channel management, Twitch interaction, and other misc. features. -
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LiquidHaskell
Liquid Types For Haskell
...If you're a LiquidHaskell user (or just curious), you probably want to go to the documentation website instead. LiquidHaskell (LH) refines Haskell's types with logical predicates that let you enforce important properties at compile time. LH warns you that head is not total as it is missing the case for [] and checks that it is total on NonEmpty lists. The input contract propagates to uses of head which are verified by ensuring the arguments are NonEmpty. LH lets you avoid off-by-one errors that can lead to crashes or buffer overflows. Dependent contracts let you specify, e.g. that dotProduct requires equal-sized vectors. ... -
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Tasmota
Alternative firmware for ESP8266 with easy configuration
Alternative firmware for ESP8266 with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Unless your Tasmota powered device exhibits a problem or you need to make use of a feature that is not available in the Tasmota version currently installed on your device, leave your device alone - it works so don't make unnecessary changes! If the release version (i.e., the master branch) exhibits... -
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Wan2.2
Wan2.2: Open and Advanced Large-Scale Video Generative Model
Wan2.2 is a major upgrade to the Wan series of open and advanced large-scale video generative models, incorporating cutting-edge innovations to boost video generation quality and efficiency. It introduces a Mixture-of-Experts (MoE) architecture that splits the denoising process across specialized expert models, increasing total model capacity without raising computational costs. Wan2.2 integrates meticulously curated cinematic aesthetic data, enabling precise control over lighting, composition, color tone, and more, for high-quality, customizable video styles. The model is trained on significantly larger datasets than its predecessor, greatly enhancing motion complexity, semantic understanding, and aesthetic diversity. ... -
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MiniMax-M2
MiniMax-M2, a model built for Max coding & agentic workflows
MiniMax-M2 is an open-weight large language model designed specifically for high-end coding and agentic workflows while staying compact and efficient. It uses a Mixture-of-Experts (MoE) architecture with 230 billion total parameters but only 10 billion activated per token, giving it the behavior of a very large model at a fraction of the runtime cost. The model is tuned for end-to-end developer flows such as multi-file edits, compile–run–fix loops, and test-validated repairs across real repositories and diverse programming languages. It is also optimized for multi-step agent tasks, planning and executing long toolchains that span shell commands, browsers, retrieval systems, and code runners. ... -
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MiniMax-01
Large-language-model & vision-language-model based on Linear Attention
...MiniMax-Text-01 uses a hybrid attention architecture that blends Lightning Attention, standard softmax attention, and Mixture-of-Experts (MoE) routing to achieve both high throughput and long-context reasoning. It has 456 billion total parameters with 45.9 billion activated per token and is trained with advanced parallel strategies such as LASP+, varlen ring attention, and Expert Tensor Parallelism, enabling a training context of 1 million tokens and up to 4 million tokens at inference. MiniMax-VL-01 extends this core by adding a 303M-parameter Vision Transformer and a two-layer MLP projector in a ViT–MLP–LLM framework, allowing the model to process images at dynamic resolutions up to 2016×2016. -
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Element
A glossy Matrix collaboration client for the web
...All communications are done through the open global Matrix network, secured with end-to-end encryption. Element gives you all the services you need from a chat app: group chat, video calls, file sharing and more-- all done securely and in total privacy. Element has three different tiers of support for different environments, the most supported being the latest versions of Chrome, Firefox, and Safari on desktop OSes. -
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FVM
Flutter Version Management: A simple CLI to manage Flutter SDK version
FVM streamlines Flutter version management. It allows per project SDK versions, ensuring consistent app builds and easier testing of new releases, thereby boosting the efficiency of your Flutter project tasks. -
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Black
The uncompromising Python code formatter
Black is the uncompromising Python code formatter that takes total control over your Python code formatting in the best way. Black delivers speed and certainty, while freeing you from constant pycodestyle nagging. Your code review becomes a lot faster and easier, so you can spend more time and mental energy on more important things. Blackened code makes the smallest diffs possible and looks the same no matter the project. -
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hey
HTTP load generator, ApacheBench (ab) replacement
hey is a tiny program that sends some load to a web application. hey was originally called boom and was influenced from Tarek Ziade's tool at tarekziade/boom. Using the same name was a mistake as it resulted in cases where binary name conflicts created confusion. To preserve the name for its original owner, we renamed this project to hey. hey runs provided number of requests in the provided concurrency level and prints stats. It also supports HTTP2 endpoints. It’s simple, efficient,... -
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Instagram OSINT Tool
Instagram OSINT tool for gathering profile data and public posts
InstagramOSINT is an open source intelligence (OSINT) tool designed to collect publicly accessible information from Instagram profiles. It retrieves details that are not always easily visible when browsing an Instagram account normally, allowing investigators, researchers, and developers to gather structured data about a target profile. It works by scraping publicly available profile information and extracting metadata from Instagram pages using Python. It collects various attributes such as... -
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PikaPython
An ultra-lightweight Python interpreter that runs with only 4KB of RAM
An ultra-lightweight Python interpreter that runs with only 4KB of RAM, and zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar projects: MicroPython, JerryScript. -
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Laravel Shopping Cart
Shopping Cart Implementation for Laravel Framework
A Shopping Cart Implementation for Laravel Framework. By default, the cart has a default sessionKey that holds the cart data. This also serves as a cart unique identifier which you can use to bind a cart to a specific user.
