Tiger Data
@timescale • Open source projects from timescale. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
89%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
18 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (7), TypeScript (6), Unknown (6)
Average size
38
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-07-22(35d ago)GitHub API fallback30 repositories
89%
of the visible star count comes from this organization's top three repositories.
38
stars per repository in this same snapshot.
Python
is the most common language here, with 18 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 61% of its visible star count.
Flagship share 61%Breakout repo: tigerfs
Organization pages work best when you separate portfolio breadth from flagship concentration. In Tiger Data's case, the visible top three repositories account for about 89% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (7), TypeScript (6), Unknown (6). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | timescale/tigerfs Mount PostgreSQL as a filesystem. Build apps with files, explore databases with ls and cat. Every write is logged and undoable. | Go | 688 |
| 2 | timescale/ghost Ghost 👻 | Go | 184 |
| 3 | timescale/rsigma A complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers :crab: | Rust | 135 |
| 4 | timescale/ghostgres There are no dumb queries, only dumb databases | Go | 40 |
| 5 | timescale/memory-engine Agentic memory built on Postgres | TypeScript | 32 |
| 6 | timescale/crayon AI-native workflow engine for GTM/RevOps automation | TypeScript | 10 |
| 7 | timescale/pg-guide PG guide to devops/infra engineers | 9 | |
| 8 | timescale/helr A declarative (and optionally scriptable) HTTP API (audit trail) log collector :crab: | Rust | 7 |
| 9 | timescale/tigerdata-devrel-workshops Hands-on workshops from the Tiger Data DevRel team. Each workshop is self-contained in its own folder. | 4 | |
| 10 | timescale/ressrf Multi-platform SSRF prevention library | Rust | 4 |
| 11 | timescale/Tiger-Data-Docs Tiger Data Documentation | MDX | 4 |
| 12 | timescale/sigma-rules Sigma Rules Skill | 3 | |
| 13 | timescale/pg-ai-cookbook | 3 | |
| 14 | timescale/mqtt-grafana-workshop A practical workshop for streaming manufacturing sensor data from MQTT to TimescaleDB on Tiger Cloud | Python | 2 |
| 15 | timescale/rsigma-action GitHub Action for Detection-as-Code (DaC) powered by RSigma: lint, validate, backtest, and ATT&CK coverage | Shell | 2 |
| 16 | timescale/cookbook-search Cookbooks and resources about using search in postgres. | Python | 2 |
| 17 | timescale/autobase Automated database platform for PostgreSQL® - Your own DBaaS. | TypeScript | 2 |
| 18 | timescale/mqtt-sql-timescale | Python | 2 |
| 19 | timescale/sigma-backends Sigma Backends Skill | 1 | |
| 20 | timescale/bump-release-bun For projects using bun, makes it easy to modify package.json and tag a release | TypeScript | 0 |
| 21 | timescale/tiger-grafana-mcp-server MCP server for querying Grafana Postgres datasources | TypeScript | 0 |
| 22 | timescale/uns_adapters_claude Companion repo for a TigerData blog tutorial. Claude Code Agent Teams build three industrial IoT collection clients (Modbus-TCP, OPC UA, MQTT) in parallel, each writing directly into a TimescaleDB hypertable. Includes a simulator, shared data models, contract files, and end-to-end pipeline validation. | Python | 0 |
| 23 | timescale/tiger-data-design-resources Tiger Data design resources and workshops | TypeScript | 0 |
| 24 | timescale/postgres-connector-chart Helm chart for Postgres connector | Go Template | 0 |
| 25 | timescale/cookbook-integrations Sample projects and tutorials for different integrations for Tiger Data/TimescaleDB. | Python | 0 |
| 26 | timescale/pgvector-chatbot Build a RAG chatbot with pgvector and OpenAI | 0 | |
| 27 | timescale/uns-tutorial | Python | 0 |
| 28 | timescale/iceberg-go Apache Iceberg - Go | Go | 0 |
| 29 | timescale/TimescaleDB-HybridSearch | Python | 0 |
| 30 | timescale/avro A fast Go Avro codec | Go | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.