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  3. datawhalechina
  4. deepagents-in-action
Jupyter NotebookNiche visibilityFresh activityNo linked package signalPartial snapshot

datawhalechina/deepagents-in-action

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Oct 27, 2026

📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南

Compare closest alternativesOpen GitHub
Stars
2.8K
Forks
295
Daily momentum
—
Weekly momentum
—
30-day momentum
—

First read

Promising movement, but the picture is still partial

datawhalechina/deepagents-in-action is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.

Visible

2.8K public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Oct 27, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 2.8K stars
  • 295 forks
  • Last commit Oct 27, 2026
  • Package usage not mapped yet

Compare lens

dolthub/dolt and recommenders-team/recommenders are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Oct 27, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for datawhalechina/deepagents-in-action, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

agentic-aiai-agentsastrochinesecontext-engineeringcoursedeepagentslangchainlanggraphsandboxtutorial
🎓The Professor🐙Polyglot
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines fresh update.

Fresh update
Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 2.8K
2.8K30d ago2.8K7d ago2.8K1d ago2.8KNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix
Current stars2.8K

Bar lengths use a log scale so stars and package downloads stay comparable.

Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Jupyter Notebook repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

dolthub/dolt

Shares the data category footprint with datawhalechina/deepagents-in-action, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

recommenders-team/recommenders

Shares the data category footprint with datawhalechina/deepagents-in-action, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

teableio/teable

Shares the data category footprint with datawhalechina/deepagents-in-action, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

kubeflow/kubeflow

Shares the data category footprint with datawhalechina/deepagents-in-action, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked dolt + recommenders as the closest next comparison from the related repository set.

Open compare presetCompare with doltCompare with recommenders
Repo utility

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GitHub Repositorydatawhalechina/deepagents-in-actionExport Ranking DataDownload CSV

Wider nearby ecosystem

Compare with doltCompare with recommenders
Go
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✨ AI Spreadsheet for Business

Unknown
15.9K
kubeflow/kubeflow

The Cloud Native AI Platform

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firecrawl/firecrawl

Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥

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chroma-core/chroma

Search infrastructure for AI

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesView the organizationRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of datawhalechina/deepagents-in-action based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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