Projects tagged with Developer Tools

Pagure

BitBucket

Upsource

Apache Guacamole™

Myrtille

MeshCentral

Remotely

TeamViewer

🌄Upstream landscape generation application

AWS Lambda monitoring & debugging platform. Serverless observability & troubleshooting. Serverless monitoring.

Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.

Lumigo provides Troubleshoot Serverless Applications at the speed of light.

Command line tool to locally run and deploy your node.js application to Amazon Lambda

Serverless Container-aware ARchitectures (e.g. Docker in AWS Lambda)

🔥🔥🔥 Serverless Devs developer tool ( Serverless Devs 开发者工具 )

Sigma is a serverless application developer tool; a cloud IDE, which helps you rapidly build, test and deploy serverless applications.

Stackery provides intuitive automation, predictable performance, and operational control over server-less applications and infrastructure.

Thundra helps answer your toughest questions about the health of your Serverless infrastructure by giving you invaluable insights into your AWS Lambda functions.

Mirror of Apache Guacamole Server

Argos is a visual testing solution that fits in your workflow to avoid visual regression. Takes screenshots on each commit and be notified if something changes.

Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.

An Enterprise SAML single sign-on service designed as an OAuth 2.0 flow. Integrate SAML and OIDC SSO with just a few lines of code.

An online tool to quickly bundle & minify your projects, while viewing the compressed gzip/brotli bundle size, all running locally on your browser.

Cloudogu Ecosystem is an open platform, which lets you choose how and where your team creates great software. Each service or tool is delivered as a Dōgu, a Docker container, that can be easily integrated in your environment just by pulling it from our registry.

Exoframe is a self-hosted tool that allows simple one-command deployments using Docker