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Instructor

Rising

AI Frameworks

Listed 2mo old · python.useinstructor.com

Python library for structured outputs from LLMs using Pydantic. Extract typed data from any model with validation, retries, and streaming support.

Best For

Teams & solo builders

Key Pros & Cons

Strengths

8.3% fork-to-star ratio — strong developer contribution signal

Watch Out For

Low community score (2/100) — smaller support network

Market Momentum

-1

24h

+20

+24

30d

14-day heat score history

Creator Buzz3

Search Interest78

Community Activity2

Abandonment & Maintenance Risk

Low Risk

Trend phaseRising

30-day score change+24 pts

Listed on HookFlow2mo old

Discontinued flag✓ No

Commit cadenceVery Active

Last commit5d ago

Risk Factors

No major abandonment signals detected
Active growth — strong maintenance signal
Negative score trajectory (-5.00 pts/day)
GitHub repo actively maintained — last commit 5d ago

GitHub Repository Health

Very Active

Stars

13,196

Forks

1,090

Open Issues

Watchers

Last commit5d ago

7-day star growth+39 stars

Fork / Star ratio8.3%

Snapshot dateJun 20, 2026

github.com/instructor-ai/instructor

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

Instructor (this)

—

+20

100

Replicate▲ Declining

-15

LlamaIndex▲ Rising

+27

Unsloth▲ Rising

—

+27

Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of June 20, 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 — June 20, 2026hookflow.ai

Growth Momentum100

Score ForecastConfidence: low

7-day est.

14-day est.

Trend slope: -5.00 pts/day

What This Score Means

Instructor is in the rising phase within AI Frameworks, gaining +20 pts this week — adoption is building.

100

Candle▲ Rising

—

+20

LiteLLM▲ Rising

—

+25

100

Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).