Call 100+ LLMs with a unified OpenAI-compatible API. Switch providers, manage rate limits, and track costs across every model from one library.
Best For
Teams & solo builders
Key Pros & Cons
Strengths
- 18.6% fork-to-star ratio — strong developer contribution signal
Watch Out For
- Low community score (2/100) — smaller support network
Market Momentum
40
+4
24h
+2
7d
-14
30d
14-day heat score history
Creator Buzz3
Search Interest100
Community Activity2
Growth Momentum53
Score ForecastConfidence: low
33
7-day est.
33
14-day est.
Trend slope: 0.00 pts/day
What This Score Means
LiteLLM has reached peak visibility in AI Frameworks and is beginning to pull back — now is a good time to evaluate whether the team is sustaining investment.
Abandonment & Maintenance Risk
Low Risk
Trend phasePeak
30-day score change-14 pts
Listed on HookFlow3mo old
Discontinued flag✓ No
Commit cadenceVery Active
Last commitToday
Risk Factors
- No major abandonment signals detected
- GitHub repo actively maintained — last commit Today
GitHub Repository Health
A
Very Active
Stars
55,539
Forks
10,320
Open Issues
4758
Watchers
218
Last commitToday
7-day star growth+609 stars
Fork / Star ratio18.6%
Snapshot dateAug 4, 2026
Data Lock-In Index
100
/ 100 (lower = more open)
○ Webhooks Out○ Bulk Export○ Open Formats
vs. Category Peers (AI Frameworks)
Tool
A.R.C.
Heat
7d Δ
Lock-In
LiteLLM (this)
—
40
+2
100
Replicate▲ Declining
C
51
-7
0
Burn
—
46
+8
33
LangChain▲ Declining
LLM application framework for chains and agents
B
45
-1
0
Candle
—
44
+7
33
Haystack▲ Peak
—
40
+3
100
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).
Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of August 4, 2026. Heat scores, community activity, and market momentum are recalculated daily — figures shown here represent a point-in-time snapshot and may differ from current values on HookFlow.ai.
HookFlow.ai Infrastructure Report — August 4, 2026hookflow.ai