Home/Compare/deep-research vs lever

Comparison

deep-research vs lever

Verdict

Pick deep-research when deep-research is primarily TypeScript; lever is Python; pick lever when lever is primarily Python; deep-research is TypeScript.

Markdown twin · deep-research alternatives · lever alternatives

GraphCanon updated today

deep-research logo

deep-research

dzhng/deep-research

19kpushed Apr 11, 2026
vs
lever logo

lever

niansong1996/lever

90pushed Jul 5, 2023

Trust & integrity

Signaldeep-researchlever
Maintenance
Slowing (90d since push)
As of today · github_public_v1
Dormant (1102d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
39 low (39 low)
As of today · osv@v1
No criticals
As of today · osv@v1

Tagline

deep-research
An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
lever
Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)

Stars

deep-research
19k
lever
90

Forks

deep-research
2.0k
lever
8

Open issues

deep-research
90
lever
2

Language

deep-research
TypeScript
lever
Python

Adopt for

deep-research
Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics.
lever
-

Persona

deep-research
-
lever
-

Runtime

deep-research
-
lever
-

License

deep-research
MIT
lever
MIT

Last pushed

deep-research
Apr 11, 2026
lever
Jul 5, 2023

Categories

deep-research
AI Agents, Data & Retrieval
lever
Data & Retrieval

Trust and health

Maintenance

deep-research
Slowing (36%)
lever
Dormant (18%)

Days since push

deep-research
90d
lever
1102d

Open issues (now)

deep-research
90
lever
2

Security scan

deep-research
39 low (39 low)
lever
No criticals

Full report

deep-research
Trust report

Choose deep-research if…

  • deep-research is primarily TypeScript; lever is Python.
  • Requirements: Requires Docker.
  • Tags unique to deep-research: research, ai, o3-mini, gpt.
  • Also covers AI Agents.
  • deep-research ships Docker support for self-hosted deployment.
  • When you need a tool that can refine its topic focus over time through repeated iterations.

When NOT to use deep-research

  • When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment.
  • If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.

Choose lever if…

  • lever is primarily Python; deep-research is TypeScript.
  • Tags unique to lever: python.
  • Leaner open-issue backlog (2).

When NOT to use lever

  • Last GitHub push was 1102 days ago (dormant maintenance, Jul 5, 2023). Validate activity before betting a new project on lever.
  • Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: deep-research 19k · lever 90 (synced Jul 11, 2026).

Common questions

What is the difference between deep-research and lever?
deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. lever: Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23). See the comparison table for live GitHub stats and shared categories.
When should I choose deep-research over lever?
Choose deep-research over lever when deep-research is primarily TypeScript; lever is Python; Requirements: Requires Docker; Tags unique to deep-research: research, ai, o3-mini, gpt; Also covers AI Agents; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations.
When should I choose lever over deep-research?
Choose lever over deep-research when lever is primarily Python; deep-research is TypeScript; Tags unique to lever: python; Leaner open-issue backlog (2).
When should I avoid deep-research?
When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
When should I avoid lever?
Last GitHub push was 1102 days ago (dormant maintenance, Jul 5, 2023). Validate activity before betting a new project on lever. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
Is deep-research or lever more popular on GitHub?
deep-research has more GitHub stars (19,329 vs 90). Stars measure visibility, not whether either tool fits your constraints.
Are deep-research and lever open source?
Yes - both are open-source projects on GitHub (deep-research: MIT, lever: MIT).
Where can I find alternatives to deep-research or lever?
GraphCanon lists graph-backed alternatives at deep-research alternatives and lever alternatives (deep-research markdown twin, lever markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, deep-research or lever?
deep-research: Slowing. lever: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for deep-research and lever?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; lever trust report.