GreptimeDB
greptime.comStore metrics, logs, and traces in one database and query them with SQL or PromQL.
Store metrics, logs, and traces in one database and query them with SQL or PromQL.
A self-hostable database engine for relational, document, graph, vector, and time-series data.
Build interactive terminal applications in Go with an event-driven model, update, and view loop.
Deploy managed open-source software on a dedicated cloud VM with backups, updates, TLS, and monitoring handled by Elestio.
Deploy app services from GitHub or templates, then manage them from a shared project dashboard.
Call Claude models through a REST API, official SDKs, and asynchronous batch endpoints.
Validate Python data against typed models and generate matching JSON Schema.
Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.
Personal AI art generator that turns your photos into images and videos
Room-based document collaboration with permissions, version history, and cloud or self-hosted deployment.
Deploy full-stack Next.js and Angular apps from GitHub onto Google's managed web infrastructure.
Orchestrate infrastructure plans, approvals, and deployments across IaC tools.
A free self-hosted PaaS for deploying apps onto a Docker server you control.
Build and run JavaScript or TypeScript web applications on a managed serverless platform.
A business messenger with scheduled broadcasts, user administration, audits, and private-cloud storage.
Deploy an application from a repository or starter template and configure its runtime in Railway.
Build, run, debug, test, and profile Android applications in Google’s Android-focused IDE.
Preview and deploy infrastructure changes through the same CI workflow as application code.
Use a cross-platform SQL database engine that ranges from embedded and single-user use to multi-client deployments.
Define AWS infrastructure in familiar programming languages and synthesize deployable applications.
Compare synthetic browser checks with real-user performance and alert on regressions.
Keep Kubernetes applications in sync with their declared configuration in Git.
Run source-built or containerized web services on managed, autoscaling infrastructure.
Run repository builds, tests, and deployments from a bitbucket-pipelines.yml file in Bitbucket Cloud.