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langchain-ai/langchain-mongodb

Integrations between MongoDB, Atlas, LangChain, and LangGraph

12059Python676d old

Summary

The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.

langchain-ai/langchain-mongodb recorded 19 commits in the past 30 days, has 20 public contributors, and has averaged 0.2 stars a day since launch.

87

Repository health

100

Maintainer track record

89

Repository quality

51

Catalyst Score

Contributors

Public track record

LangChain GitHub avatar
LangChain

@langchain-ai · Repository organization

100/100

Established maintainer with a long public history and active community.

21.9K followers258 public repos3y history0 contributions
258 public repositories21928 followers3 years of public history
Steven Silvester GitHub avatar
Steven Silvester

@blink1073 · Top contributor

100/100

Established maintainer with a long public history and active community.

595 followers383 public repos14y history97 contributions
383 public repositories595 followers14 years of public history
dependabot[bot] GitHub avatar
dependabot[bot]

@dependabot[bot] · Top contributor

29/100

This account has a limited public history, so the track-record score is less certain.

0 followers0 public repos7y history96 contributions
0 public repositories0 followers7 years of public history
Casey Clements GitHub avatar
Casey Clements

@caseyclements · Top contributor

82/100

Established maintainer with a long public history and active community.

19 followers58 public repos15y history65 contributions
58 public repositories19 followers15 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+0
Fork growth since launch+0
Freshness+0
30-day commit activity+9
Contributor breadth+9
Maintainer track record+12
Topic activity+4
Repository quality+7
Topic novelty+10
Risk penalty0

Activity

Recent repository activity

19

Commits · 30d

20

Public contributors

0.2

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

19 commits in the last 30 days

20 public contributors

0 issues and 0 pull requests opened in 90 days

10 documentation and structure checks passed

Related repositories

langchain · 0 created in the past 30 days

Risk review

What needs watching

No material structural red flags detected; monitor maintainer concentration

Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.

Growth quality

Recent attention and maintainer concentration

Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.

Contributor concentration

Top 20 public contributors

Top contributor share
31%
Top three share
83%
Contributors checked
20
Concentration
High

Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.

Recent commit sample

Latest 100 commits

Unique authors
9
Verified commits
100%
Merge commits
0%
Median time between commits
19.5 hours

Repository footprint

Default branch: main

Repository size
7.0 MB
Branches
17
Tags
35
Watchers
7
Issue tracking

Deeper GitHub data

Delivery, collaboration, and project readiness

These metrics use the latest public records GitHub makes available for this repository.

Language composition

Share of detected source bytes

Python97.1%
Jupyter Notebook2.3%
Just0.4%
Shell0.1%

Community readiness

GitHub community health 100%

README
License
Contributing guide
Code of conduct
Issue template
Pull request template

Pull request health

Latest 50 pull requests

Merge rate
71%
Median merge time
41.4 hours
Open
5
Stale over 30 days
2

Issue health

Latest 4 issues

Closure rate
25%
Median close time
14.1 days
Open
3
Open without replies
0

Release cadence

Latest 20 release records

Latest release
libs/langchain-mongodb-deepagents-vfs/v0.1.0
Published in 90 days
2
Median cadence
9.8 days
Asset downloads
175

CI reliability

Latest 50 workflow runs

Success rate
98%
Workflows represented
6
Failed runs
1
Median duration
0.9 min

Last checked

8/26/2026, 2:15:17 AM

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