InfluxData
@influxdata • Open source projects from influxdata. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
75%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
16 repositories updated in the last 90 days.
Leading language
Rust
Portfolio mix
Rust (8), Python (7), Unknown (7)
Average size
6
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-09-30(10d ago)GitHub API fallback30 repositories
75%
of the visible star count comes from this organization's top three repositories.
6
stars per repository in this same snapshot.
Rust
is the most common language here, with 16 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Balanced portfolio across 30 reposTop 3 share 75%
Organization pages work best when you separate portfolio breadth from flagship concentration. In InfluxData's case, the visible top three repositories account for about 75% 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 Rust (8), Python (7), Unknown (7). 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 | influxdata/influxdb3_core InfluxData's core functionality for InfluxDB Edge and IOx | Rust | 51 |
| 2 | influxdata/influxdb3_mcp_server MCP Server for InfluxDB 3 | TypeScript | 38 |
| 3 | influxdata/influxdb3_plugins Python plugins for InfluxDB 3 | Python | 37 |
| 4 | influxdata/datafusion-udf-wasm DataFusion UDFs (User Defined Functions) via WebAssembly | Rust | 21 |
| 5 | influxdata/parquet-bloom-filter-analysis Generate Parquet Files | Rust | 14 |
| 6 | influxdata/influxdb3-skills Agent skills for developing applications that work with InfluxDB 3 | Python | 2 |
| 7 | influxdata/arrow-datafusion Apache Arrow DataFusion SQL Query Engine | Rust | 2 |
| 8 | influxdata/influxdb3-ref-auto-manufacturing InfluxDB 3 Enterprise reference architecture for motor vehicle manufacturing: an in-database Processing Engine pipeline that cleans messy plant telemetry (resample → fill → filter → downsample → forecast) | Python | 1 |
| 9 | influxdata/ansible-collection-molecule Utilities for deploying and operating Molecule CI environments | Jinja | 1 |
| 10 | influxdata/influxdb3-ref-fleet-telematics InfluxDB 3 Enterprise reference architecture for fleet telematics: trucks on a live map, geo-enriched in-database by the registry geo_enrichment Processing Engine plugin (nearest warehouse, geofences, reverse geocoding) | Python | 0 |
| 11 | influxdata/docs-skills | 0 | |
| 12 | influxdata/security-advisories InfluxData security advisories | 0 | |
| 13 | influxdata/influxdb3-ref-scientific-infrastructure Reference architecture: InfluxDB 3 Enterprise for precision scientific research infrastructure. TIG stack (Telegraf + InfluxDB 3 + Grafana) with collectd, nanosecond timestamps, 5-year retention, and Processing Engine downsampling. | Go Template | 0 |
| 14 | influxdata/influxdb-install InfluxDB 3 installation script | Shell | 0 |
| 15 | influxdata/vortex An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation. | Rust | 0 |
| 16 | influxdata/influxdb3-plugin-sdk Author-side SDK and CLI for building InfluxDB 3 plugins (templating, validating, packaging). | Rust | 0 |
| 17 | influxdata/influxdb3-ref-network-telemetry Reference architecture: InfluxDB 3 Enterprise 5-node cluster (2 ingest + query + compact + process) monitoring a data-center Clos fabric. Two schedule plugins write back via httpx; two request plugins served direct to the browser. Per-table 24h retention. ~10k pts/s, runnable in 3 minutes via docker compose. | Python | 0 |
| 18 | influxdata/influxdb3-ref-iiot Reference architecture: InfluxDB 3 Enterprise for IIoT / factory floor monitoring. Live demo (1 plant × 3 lines × 8 stations, ~300 pts/s) with four Python Processing Engine plugins running inside the database — runnable in 2 minutes via docker compose. | Python | 0 |
| 19 | influxdata/influxdb3-reference-architectures Index and shared conventions for the InfluxDB 3 Enterprise reference architecture portfolio — eight runnable, vertical-specific demos. | 0 | |
| 20 | influxdata/influxdb3-ref-bess Reference architecture: InfluxDB 3 Enterprise for Battery Energy Storage Systems. Live demo (4 packs × 192 cells, ~2k pts/s) with Python Processing Engine plugins running inside the database — runnable in 2 minutes via docker compose. | Python | 0 |
| 21 | influxdata/python-wasm-wheels WASM/WASI-compatible wheels for some Python projects. | Shell | 0 |
| 22 | influxdata/athenadriver A fully-featured AWS Athena database driver (+ athenareader https://github.com/uber/athenadriver/tree/master/athenareader) | Go | 0 |
| 23 | influxdata/vertica-sql-go Official native Go client for the Vertica Analytics Database. | 0 | |
| 24 | influxdata/urllib3 urllib3 is a user-friendly HTTP client library for Python | 0 | |
| 25 | influxdata/cpython-wasi-build Unofficial WASI builds of CPython | 0 | |
| 26 | influxdata/homebrew-core 🍻 Default formulae for the missing package manager for macOS (or Linux) | Ruby | 0 |
| 27 | influxdata/arrow-rs-object-store Rust object_store crate | 0 | |
| 28 | influxdata/influxdb-rails Ruby on Rails bindings to automatically write metrics into InfluxDB | Ruby | 0 |
| 29 | influxdata/iceberg-rust Apache Iceberg | Rust | 0 |
| 30 | influxdata/arrow-rs Official Rust implementation of Apache Arrow | Rust | 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.