head to head · open source

OpenObserve vs phantomas

OpenObserve has 22,777 GitHub stars, 1,179 forks, 598 open issues and last shipped yesterday. phantomas has 2,263 stars, 133 forks, 65 open issues and last shipped 2 days ago. OpenObserve leads on adoption by 906% (22,777 vs 2,263 stars). OpenObserve is written in TypeScript under AGPL-3.0; phantomas is written in JavaScript under BSD-2-Clause. OpenObserve has attracted 5% as many forks as stars, phantomas 6%. OpenObserve was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (metrics), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

OpenObserve ★ 23K phantomas ★ 2.3K category Infrastructure & Operations

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Side by side

OpenObserve phantomas
GitHub stars ★ 23K ★ 2.3K
License AGPL-3.0 BSD-2-Clause
Written in TypeScript JavaScript
Last push 2026-11-04 2026-11-03
Forks ⑂ 1.2K ⑂ 133
Self-hosting Yes Yes
Data ownership Your server Your server

pick OpenObserve if

  • You weight community size — 23K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full OpenObserve profile →

pick phantomas if

  • You want the phantomas feature set and don't need the biggest community
  • You prefer the BSD-2-Clause license terms
  • Your stack matches JavaScript
  • You evaluated both and phantomas fits your workflow better

full phantomas profile →

About OpenObserve

Open source Datadog alternative for logs, metrics, traces, and frontend monitoring. Modern observability platform: 10x easier, 140x lower storage cost, high performance, petabyte scale. Cloud · Documentation · Slack · Quickstart OpenObserve (O2) is a cloud native observability platform for logs, metrics, traces, analytics, Real User Monitoring (RUM), and AI/LLM observability. It's a cost effective alternative to Datadog, Splunk, and Elasticsearch for teams that need full observability without the complexity or cost — with Parquet columnar storage and an S3 native design that cuts storage costs by up to 140x…

read the full OpenObserve overview →

About phantomas

phantomas ========= Headless Chromium based modular web performance metrics collector. And why phantomas? Well, because :) Requirements NodeJS 16+ Installation Via npm This will install a recent version of Chromium supported by puppeteer module. Via Docker You can use phantomas Docker image: Or you can fetch from GitHub's Containers registry Support You can get support for phantomas via xs:code. Usage example Or run ./examples/index.js . Development version To get the latest development version of phantomas (and install all required dependencies): Running tests First you need to start a local nginx container…

read the full phantomas overview →

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Frequently asked questions

Is OpenObserve or phantomas more popular?

OpenObserve has 22,777 GitHub stars and phantomas has 2,263. OpenObserve has the larger community by that measure.

Are OpenObserve and phantomas free?

Both are open source. OpenObserve is licensed under AGPL-3.0 and phantomas under BSD-2-Clause. Neither carries a licence fee.

What is the difference between OpenObserve and phantomas?

OpenObserve is written in TypeScript and phantomas in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, OpenObserve or phantomas?

Choose OpenObserve if you want the larger community (22,777 stars) or its AGPL-3.0 licence terms. Choose phantomas if its feature set, stack or BSD-2-Clause licence fits better. Both are self-hostable.