Go Code Review Software

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  • Auth for GenAI | Auth0 Icon
    Auth for GenAI | Auth0

    Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.

    Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
    Try free now
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
    Start Free
  • 1
    Chroma

    Chroma

    A general purpose syntax highlighter in pure Go

    As Chroma has just been released, its API is still in flux. That said, the high-level interface should not change significantly. Chroma takes source code and other structured text and converts it into syntax-highlighted HTML, ANSI-coloured text, etc. Chroma is based heavily on Pygments and includes translators for Pygments lexers and styles. ABAP, ABNF, ActionScript, ActionScript 3, Ada, Angular2, ANTLR, ApacheConf, APL, AppleScript, Arduino, Awk. PacmanConf, Perl, PHP, PHTML, Pig, PkgConfig, PL/pgSQL, plaintext, Pony, PostgreSQL SQL dialect, PostScript, POVRay, PowerShell, Prolog, PromQL, Properties, Protocol Buffer, PSL, Puppet, Python 2, Python. Lexers convert source text into a stream of tokens, styles specify how token types are mapped to colours, and formatters convert tokens and styles into formatted output. A package exists for each of these, containing a global Registry variable with all of the registered implementations.
    Downloads: 13 This Week
    Last Update:
    See Project
  • 2
    Distributed Code Review For Git

    Distributed Code Review For Git

    Distributed code review system for Git repos

    This repo contains a command-line tool for performing code reviews on git repositories. This tool is a distributed code review system for git repos. By "distributed", we mean that code reviews are stored inside of the repository as git objects. Every developer on your team has their own copy of the review history that they can push or pull. When pulling, updates from the remote repo are automatically merged by the tool. This design removes the need for any sort of server-side setup. As a result, this tool can work with any git hosting provider, and the only setup required is installing the client on your workstation. he git command-line tool is configured with the credentials it needs to push to and pull from the remote repos. The code review data is stored in git-notes, using the formats described below. Each item stored is written as a single line of JSON, and is written with at most one such item per line.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Gnomock

    Gnomock

    Test your code without writing mocks with ephemeral Docker containers

    Gnomock is an integration and end-to-end testing toolkit. It uses Docker to create temporary containers for application dependencies, set up their initial state and clean them up in the end. Gnomock allows to testing the code with no mocks wherever possible. The power of Gnomock is in a variety of Presets, each implementing a specific database, service, or other tools. Each preset provides ways of setting up its initial state as easily as possible: SQL schema creation, test data upload into S3, sending test events to Splunk, etc.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Reviewpad

    Reviewpad

    Next generation pull requests and issues

    Reviewpad is a service to automate pull requests and issues workflows. The workflows are specified in a YML-based configuration language described in the official documentation. In Reviewpad, you can automate actions over the pull requests and issues. With technological progress depending on the human ability to create and modify software systems, Reviewpad was founded to allow developers to safely contribute to any codebase as fast as possible. Developers deserve a better experience and that goal is what has driven our work at Reviewpad. At the core of this experience is security – developers should be able to go faster without increasing the risk of introducing changes that can hurt their products, users, and organizations.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Powering the best of the internet | Fastly Icon
    Powering the best of the internet | Fastly

    Fastly's edge cloud platform delivers faster, safer, and more scalable sites and apps to customers.

    Ensure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
    Try for free
  • 5
    reviewdog

    reviewdog

    Automated code review tool integrated with any code analysis tools

    I’d like to introduce reviewdog! An automated code review tool working with any lint tools and supports local run as well. “reviewdog” provides a way to post review comments to code hosting services, such as GitHub, automatically by integrating with any linter tools with ease. It uses any output of lint tools, with translation if required, and posts them as a comment if the file and line are in diff of patches to review. reviewdog also supports running in a local environment to filter the output of lint tools by diff. We can use various linters and static code analysis tools to detect such problems in local machines, editors, CI services. However, here is the problem. Static analysis tools may report false-positive results. Reporting false-positive results itself is ok, but due to the false-positive results we cannot make build fail and it becomes difficult for us to find true positive results from messed up analysis results.
    Downloads: 0 This Week
    Last Update:
    See Project
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