Find and compare the best Artificial Intelligence software for GitHub in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for GitHub on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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AutoKeras
AutoKeras
AutoKeras is an AutoML system built on Keras. It was developed by DATA Lab, Texas A&M University. AutoKeras aims to make machine-learning accessible to everyone. AutoKeras is a simple tool that supports a variety of tasks. -
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Userdoc
Userdoc
$99 per monthUserdoc is a platform powered by AI that streamlines software requirements management. It allows teams to define features and create user stories while integrating with project management tools. It helps in scoping out new features, creating detailed user stories, acceptance criterions, personas and user journeys. This improves collaboration and accuracy of documentation. Userdoc integrates seamlessly into existing project management ecosystems such as Jira Asana GitHub and others, ensuring requirements are organized and up-to date throughout the development cycle. The platform offers export options in formats such as MS Word and MS Excel. This facilitates easy sharing and compliance. Userdoc uses AI to accelerate the creation of software specifications, reducing time spent on manual documentation. This allows teams to focus more on creating great software. -
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Baz
Baz
$15 per monthBaz provides context and automation for reviewing, tracking, and approving code changes with confidence. Baz transforms the code review and merge process by providing instant application insights and suggestions. This helps you focus on building strong software and shipping it. Baz organizes pull requests into Topics so that you can easily navigate through reviews. Baz analyzes how each piece fits together to uncover breaking changes in APIs, endpoints and parameters. Developers can review and comment on any part of the code they choose. We'll ensure it's fully accessible on both GitHub and Baz. Structured impact analysis is the only way to accurately predict the impact of a change in code. Baz integrates AI with your developer tools to analyse your codebase, map dependency and provide actionable reviews which ensure your code is stable. Invite your team to review your proposed changes. You can easily assign reviewers based upon their past contributions. -
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Yi-Large
01.AI
$0.19 per 1M input tokenYi-Large, a proprietary large language engine developed by 01.AI with a 32k context size and input and output costs of $2 per million tokens. It is distinguished by its advanced capabilities in common-sense reasoning and multilingual support. It performs on par with leading models such as GPT-4 and Claude3 when it comes to various benchmarks. Yi-Large was designed to perform tasks that require complex inference, language understanding, and prediction. It is suitable for applications such as knowledge search, data classifying, and creating chatbots. Its architecture is built on a decoder only transformer with enhancements like pre-normalization, Group Query attention, and has been trained using a large, high-quality, multilingual dataset. The model's versatility, cost-efficiency and global deployment potential make it a strong competitor in the AI market. -
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Assembly
Factory
$80 per monthAssembly helps you start each day with clarity by bringing your entire development context in focus. It is designed to revolutionize the software development process by integrating understanding and planning, coding, review, and documentation in a cohesive system. Factory, which serves as a command center for software development teams, offers personalized dashboards to highlight relevant tasks, streamline workflows and ensure clarity and efficiency at the start of every day. The platform allows for collaborative design and planning. Teams can easily create architectures, draft requirements and outline technical roadmaps. The codebase Q&A feature simplifies complex systems by capturing context, capturing decisions and accelerating onboarding. Factory's AI code review system digs deep into codebases to identify subtle issues and assist in implementing feedback. -
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Factory
Factory
$80 per monthFactory is a platform that uses AI to automate and optimize various engineering processes. It accelerates the software development lifecycle. It provides a unified workspace which integrates code and documentation, tickets and discussions. This reduces context switching and enhances team collaboration. It combines all development artifacts in a single intelligent workspace to provide comprehensive visibility and control of engineering projects. Transforms complex tasks to repeatable processes that enable teams to solve engineering challenges efficiently and consistently. Guided workflows are provided for seamless integration of premier development tools to facilitate rapid setup and deployment. Factory's platform was designed to support large enterprise, with features such as dedicated compute resources, customized integrations tailored to organizational processes, and premium account management. -
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Mendable.ai
Mendable.ai
Mendable, an AI-powered platform, allows businesses to create customized chat applications by integrating technical resources such as documentation and knowledge databases. This allows for the creation of AI assistants that can answer questions from customers and employees, reducing support workloads while increasing user engagement. The platform allows for seamless integration with a variety of data sources including GitHub Notion Confluence and more. This allows for efficient data ingestion. Users can customize AI models by choosing base models such as GPT-3.5 Turbo or GPT-4. They can then refine responses using answer correction and prompt edits to align with the brand's voice, and reduce inaccuracies. Mendable's enterprise-grade security features include SOC 2 Type II Certification, Single Sign-On support, Role-Based Access Control (RBAC), as well as options to bring your key or model. -
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Duckie
Duckie
Duckie is an AI-powered customer service designed for B2B SaaS businesses, allowing both customers and support teams to quickly access accurate technical data. The AI agent can automatically responds to support tickets while the AI copilot helps agents by searching for relevant answers in the company's knowledgebase. Duckie offers log analysis, which allows technical support teams troubleshoot issues and resolve them by analyzing error messages, code changes, or customer data. Duckie's auto-updates keep support teams up to date on product changes, Jira ticket, and pull request. It integrates seamlessly with Slack, Zendesk Microsoft Teams and Discord. This allows companies to deploy AI wherever their customers ask questions. Duckie also allows for the drafting of responses and updating tickets in progress, reducing resolution times and increasing efficiency. -
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Claude Code
Anthropic
Claude Code, a feature of the Claude 3.7 Sonnet release, is a next-generation AI tool designed to help developers automate their coding workflows. Available as a limited research preview, it allows users to delegate tasks like reading, editing, and running code directly from the terminal. Claude Code can perform complex actions such as testing, committing, and pushing code to GitHub, and even utilize command-line tools, all while keeping developers informed at each step. Its introduction has already reduced development time significantly, completing tasks that would normally take 45 minutes in just a single pass. Claude Code aims to transform the way developers interact with their codebases, making them more efficient and less reliant on manual effort. -
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Swish.ai
Swish.ai
The first hyperautomation platform that integrates with any ITSM tool. This allows you to discover and act on real-time insights, speeding up ticket resolution and reducing costs. Swish.ai hyperautomation platform analyzes, automates and predicts the best course, then routes to the best-matched agents. Swish.ai analyzes your ITSM ticket data to build and inform dynamic AI models that provide insights about your unique environment as it changes. Swish.ai's unique solution goes beyond NLP to help you understand your company's lingo. It helps to understand each ticket issue and determines the best next action on the spot. After tickets are correctly classified, the platform evaluates real-time variables and assigns them to the most qualified agents. We also provide reference materials to ensure that agents have all the information they need to resolve the ticket without rerouting it or pausing it. -
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Functionize
Functionize
A new way of testing is needed in today's world of rapid change. Your teams can create smart tests that won't fail and can scale in a cloud environment. Use the smart agent (Architect), to quickly create AI-powered tests or convert plain-text English steps into automation with natural language processing. Don't waste time fixing broken tests. Functionize dynamically updates your test using machine learning to keep pace with UI changes. SmartFix suggestions make it easy to quickly diagnose failures in tests. You can quickly diagnose failures using screenshot comparisons and easy-to-understand errors. Live Debug allows you to interact with your test as it runs on the VM. Smart Screenshots allow you to update your tests and make SmartFix suggestions with just one click. Eliminate test infrastructure. Functionize's Test Cloud allows you to run as many tests as you need across all major browsers. -
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AiXcoder
AiXcoder
Artificial Intelligence can be left to AIXcoder. Real Intelligence belongs to humans. The offline version has been released! Your code is protected on your local computer. AiXcoder works locally in a smooth manner using state-of-the-art deep learning model compression techniques. The models are trained using a large amount of open-source code. They can be adapted to many areas. A search window seamlessly integrates into IDE and allows you to search open-source code at GitHub. Deep learning is used for filtering high-quality code in search results. Look for API usage and examples. To avoid duplicate code, search similar code. Project Level Personalized Training - Train models on your personal project and your computer. Enterprise Level Customized Training - Train models on code base or enterprise server A standard model is used to provide training. Personalized and customized training can be provided to help you learn the patterns and rules of your code. -
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Gretel
Gretel.ai
Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams. -
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Virtuoso
Virtuoso
Automating codeless tests that work is now possible. Automate your functional tests and end-to-end testing for any browser-based app at scale in the cloud. Self-healing makes test maintenance easy and faster. Unleash Natural Language Programming, author tests in lightning speed in plain English, and harness AI in your testing strategy. All this while reducing your maintenance overhead with self-healing test. Add API and Snapshot testing and you have complete visual and end-to-end regression testing. Virtuoso combines Natural Language Programming and Machine Learning with Robotic Process Automation to provide hyperautomation. We have combined all the latest technological advances to make it easier for you to test more quickly. You can unleash your creativity and increase your speed and reach. Tests in plain English for the most dynamic applications -
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Valence
Valence Security
Organizations can automate their business processes today by integrating hundreds if not all applications via APIs, SaaS Marketplaces and third-party app. Hyperautomation platforms also allow for integration of hundreds of apps through direct APIs, SaaS markets and third-party apps. This creates a SaaS-to SaaS supply chain. The supply chain allows data and privilege exchange via an expanding network indiscriminate or shadow connectivity. This increases the risk of supply chain attacks, misconfigurations, and data exposure. SaaS to SaaS connectivity can be brought out of the shadows. Alert on suspicious data flows, new integrations, and risky changes. With governance and enforcement, you can extend zero trust principles to your SaaS-to-SaaS supply chain. Provides SaaS-to-SaaS supply chain risk management that is continuous, non-intrusive and fast. Facilitates collaboration between enterprise IT security teams and business application teams. -
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Zepl
Zepl
All work can be synced, searched and managed across your data science team. Zepl's powerful search allows you to discover and reuse models, code, and other data. Zepl's enterprise collaboration platform allows you to query data from Snowflake or Athena and then build your models in Python. For enhanced interactions with your data, use dynamic forms and pivoting. Zepl creates new containers every time you open your notebook. This ensures that you have the same image each time your models are run. You can invite your team members to join you in a shared space, and they will be able to work together in real-time. Or they can simply leave comments on a notebook. You can share your work with fine-grained access controls. You can allow others to read, edit, run, and share your work. This will facilitate collaboration and distribution. All notebooks can be saved and versioned automatically. An easy-to-use interface allows you to name, manage, roll back, and roll back all versions. You can also export seamlessly into Github. -
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AlphaCode
DeepMind
Human intelligence is able to solve unexpected problems by applying critical thinking and experience. Although machine learning has made great strides in understanding and generating textual data, the machine learning community still faces challenges in problem solving. These include simple maths and programming problems or retrieving and copying existing solutions. DeepMind's mission is to solve intelligence. We created AlphaCode, a computer program that can write computer programs at a competitive level. AlphaCode was able to rank among the top 54% of programmers in programming competitions. It solved new problems that required a combination logic, logic, algorithms and natural language understanding. AlphaCode uses transformer-based language modeling to generate code on an unprecedented scale. Then, it intelligently filters to a select few promising programs. -
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Kodezi
Kodezi
Let Kodezi auto-summarize your code in seconds. Kodezi is Grammarly designed for programmers. KodeziChat allows you to ask, search, code, and generate anything in your codebase. Your AI coding assistant! Kodezi does more than fix your code. It also tells you why and how to prevent future problems. To ensure clean code and syntax, reduce unnecessary lines. Optimize your code to maximize efficiency. With detailed explanations, debug code. You can switch from one framework to another in a matter of seconds, without losing context. Commenting and explaining code is crucial for future maintenance. In a matter of seconds, you can generate code from text, answer a question about coding or create a whole function. Generate your code documentation. Translate code into another language. Optimize your code to maximize efficiency. You can use our extension in your own IDE and never need to open new tabs again. -
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Waveline
Waveline
There are many e-mails you receive daily, but only a few that need your immediate attention. The email classifier below will help you keep an organized inbox. We summarize customer complaints and notify #customersupport on Slack. #customer-relation is for delayed orders. You want to be informed about what happened after a customer call with your support representative. Instead of listening to the entire call, create a Waveline flow which summarizes the key points. Many people have writer's block when they write text. Waveline allows you to quickly build an internal tool that automatically collects information from LinkedIn and Google searches about the recipient to create a highly personalized draft. Unstructured data can be repackaged into a structured format. Waveline uses LLMs for extracting information from text, images and other sources. -
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Frigate+
Frigate+
Frigate is an open-source NVR that uses real-time AI object recognition. All processing takes place locally on your hardware. Your camera feeds never leave home. Traditional NVRs require hours of fine tuning in order to reduce false positives because they rely on simple motion detection. Even modest hardware can run advanced analysis by offloading object detection to Google Coral TPU. This allows them to determine if the motion is a person, car or other object of interest. Frigate's local processing means that you don't have to pay for personal camera footage to be sent off to the cloud. Stop focusing on shadows and wind, and instead focus on the detections that are important. Frigate's AI will clean up your video feeds. Frigate can run more than 100 object detections per second with a single Google Coral CPU. This ensures that it doesn't miss one frame. Frigate can track objects in real time and determine when someone starts walking up your front steps. -
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Amazon SageMaker offers all the tools and libraries needed to build ML models. It allows you to iteratively test different algorithms and evaluate their accuracy to determine the best one for you. Amazon SageMaker allows you to choose from over 15 algorithms that have been optimized for SageMaker. You can also access over 150 pre-built models available from popular model zoos with just a few clicks. SageMaker offers a variety model-building tools, including RStudio and Amazon SageMaker Studio Notebooks. These allow you to run ML models on a small scale and view reports on their performance. This allows you to create high-quality working prototypes. Amazon SageMaker Studio Notebooks make it easier to build ML models and collaborate with your team. Amazon SageMaker Studio notebooks allow you to start working in seconds with Jupyter notebooks. Amazon SageMaker allows for one-click sharing of notebooks.
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Amazon SageMaker Studio Lab
Amazon
Amazon SageMaker Studio Lab provides a free environment for machine learning (ML), which includes storage up to 15GB and security. Anyone can use it to learn and experiment with ML. You only need a valid email address to get started. You don't have to set up infrastructure, manage access or even sign-up for an AWS account. SageMaker Studio Lab enables model building via GitHub integration. It comes preconfigured and includes the most popular ML tools and frameworks to get you started right away. SageMaker Studio Lab automatically saves all your work, so you don’t have to restart between sessions. It's as simple as closing your computer and returning later. Machine learning development environment free of charge that offers computing, storage, security, and the ability to learn and experiment using ML. Integration with GitHub and preconfigured to work immediately with the most popular ML frameworks, tools, and libraries. -
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ExplainDev
ExplainDev
Apprenticeship is fundamentally a relationship-driven learning model that is based on real-world work. It allows novices to gain hands-on knowledge from experts to improve their skills and become more independent. ExplainDev users who were early adopters reported a 50% drop in questions for the senior developers they assigned to assist them in onboarding. You can include as many code snippets you like and get editable explanations immediately. All elements can be customized, from the size and background to the position and styling of arrows and text elements. -
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kapa.ai
kapa.ai
kapa.ai uses your docs and code, as well as chat logs and GitHub issues, to create a chatbot which answers developer questions automatically. kapa.ai, the only chatbot built to answer developer questions that involve code and is optimized for sources of technical knowledge, is the only one. Your kapa.ai bot gets better as it learns based on feedback from your users. Whenever you update your documents, blogs, or answer more questions, kapa.ai will retrain on these to stay current. -
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Spoke.ai
Spoke.ai
Spoke is the OS of tomorrow's teams. Aggregate, prioritise and summarize your tools to create a context for work. Spoke prioritizes, summarizes and unifies your notifications from across all tools into a single inbox. This saves you a lot of time every day. Try it now in Slack! You can now see who is waiting for you and gently nudge them to answer so that nothing falls through cracks. Powerful AI summarizes key information across all tools so you always know what to do.
