A time-series database for high-performance real-time analytics packaged as a Postgres extension
First read
timescale/timescaledb has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.
23.3K public stars in the current GitStar snapshot.
Recognizable in the ecosystem
Last commit Aug 14, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
Compare lens
taosdata/TDengine and metabase/metabase are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.
Validation note
GitStar can summarize public signals for timescale/timescaledb, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines fresh update and stable visibility.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
Shares the data category footprint with timescale/timescaledb, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the data category footprint with timescale/timescaledb, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the data category footprint with timescale/timescaledb, so the comparison is closer to a same-problem decision than a same-language coincidence.
Shares the data category footprint with timescale/timescaledb, so the comparison is closer to a same-problem decision than a same-language coincidence.
GitStar picked TDengine + metabase as the closest next comparison from the related repository set.
[](https://gitstar.space/repo/timescale/timescaledb)<a href="https://gitstar.space/repo/timescale/timescaledb"><img src="https://gitstar.space/api/badge/timescale/timescaledb" alt="GitStar"></a>High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
REST API for any Postgres database
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
Free universal database tool and SQL client
ClickHouse® is a real-time analytics database management system
This page provides a quick overview of timescale/timescaledb based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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