Arize-ai/openinference has 1.3k stars and gained +55 of them in the last 30 days, a 4.5% change. It is written in Python, grouped under observability, released under Apache-2.0. Last pushed on 26 Oct 2026.
Star growth per time window: stars gained, growth percentage, the star count at the start of the period, and whether the figure was measured from our own two-hour intraday snapshots, daily snapshots, or GitHub’s rebuilt star history, for the last 6 hours, the last 12 hours, today, the last 7 days, the last 30 days, and the last year. A period with no current measurement is left blank rather than shown as zero.
Period
Stars gained
Growth
From
Measured
Last 6 hours
—
—
—
Not measured
Last 12 hours
—
—
—
Not measured
Today
+5
0.4%
1.3k on 26 Oct 2026
Daily snapshots
Last 7 days
—
—
—
Last measured 23 Oct 2026
Last 30 days
+55
4.5%
1.2k on 27 Sep 2026
Weekly history
Last year
+623
93.5%
666 on 26 Oct 2025
Weekly history
A period with no current measurement is left blank: a delta needs a measurement at both ends of the period. The 6- and 12-hour periods need two intraday measurements exactly that far apart, the day-and-longer periods need snapshots on both dates, and the last year also needs star history from a year ago, which we keep for one year.
Copy either snippet into the repository's README. The badge shows total stars and the gain over the last 7d (the same window as the one below) and is hotlinked directly, with no account or token.
<a href="https://bestofgit-blue.vercel.app/projects/Arize-ai/openinference">
<img src="https://bestofgit-blue.vercel.app/badge/Arize-ai/openinference.svg?window=7d"
alt="Star and growth badge for Arize-ai/openinference on BestOfGit" />
</a>
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Stars: 1.2k when it entered our index, 1.3k on the last capture we hold (24 Oct 2026), so +42 in that span. That span is our own measurement window, not a claim about what happened before it.
It has never shown up on GitHub Trending while we were watching, so there is no arrival to compare against.
What the web says
No story on Hacker News or Reddit has linked to this repository yet. Checked .
Shares topics with
Repositories that share at least two topics with this one: most shared topics first, then stars gained in the last 24 hours.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
Every position is against the 59,266 repositories measured today — not global GitHub figures.
Stars today
#7,779top 14% of 59,266 measured today
Python
#1,812top 18% of 10,160
Age
2.8 yrolder than 40% of the corpus
Watchers / stars
1.1%median at this size 1.7%
Pull requests
102busier than 96% of the corpus
154 commits in 28 days · release 1 days ago
Reddit (fetched when this page is opened)
A Reddit search for github.com/Arize-ai/openinference runs while this page is rendered, at most once every 6 hours per repository. What it finds is stored in our database (25 posts per fetch, at most 200 repositories a day), so the numbers on this site can be reproduced later. Reddit's feed has no scores or comment counts, so none are shown.
