---
title: "deep-research vs lever"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/dzhng-deep-research-vs-niansong1996-lever"
tools: ["dzhng-deep-research", "niansong1996-lever"]
---

# deep-research vs lever

*GraphCanon updated Jul 11, 2026*

## Verdict

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

[deep-research](https://github.com/dzhng/deep-research) reports 19k GitHub stars, 2.0k forks, and 90 open issues, last pushed Apr 11, 2026. [lever](https://arxiv.org/abs/2302.08468) has 90 stars, 8 forks, and 2 open issues, last pushed Jul 5, 2023. Figures are from public GitHub metadata via [deep-research's repository](https://github.com/dzhng/deep-research) and [lever's repository](https://github.com/niansong1996/lever).

| | [deep-research](/tools/dzhng-deep-research.md) | [lever](/tools/niansong1996-lever.md) |
| --- | --- | --- |
| Tagline | An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models. | Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23) |
| Stars | 19,329 | 90 |
| Forks | 1,972 | 8 |
| Open issues | 90 | 2 |
| Language | TypeScript | Python |
| Adopt for | 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. | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Data & Retrieval | Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [deep-research](/tools/dzhng-deep-research.md) | [lever](/tools/niansong1996-lever.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 90d | 1102d |
| Open issues (now) | 90 | 2 |
| Security scan | 39 low (39 low) | No criticals |
| Full report | [trust report](/tools/dzhng-deep-research/trust.md) | [trust report](/tools/niansong1996-lever/trust.md) |

## Decision facts: deep-research

- **Requirements:** Requires Docker
- **Adopt for:** 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.

## Choose when

### Choose deep-research if…

- deep-research is primarily TypeScript; lever is Python.
- Requirements: Requires Docker.
- Tags unique to deep-research: agent, ai, gpt, o3-mini.
- 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.

### 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 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 NOT to use lever

- Last GitHub push was 1103 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.

## 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: agent, ai, gpt, o3-mini; 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 1103 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](/tools/dzhng-deep-research/alternatives) and [lever alternatives](/tools/niansong1996-lever/alternatives) ([deep-research markdown twin](/tools/dzhng-deep-research/alternatives.md), [lever markdown twin](/tools/niansong1996-lever/alternatives.md)), 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](/compare/dzhng-deep-research-vs-niansong1996-lever.md) 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](/tools/dzhng-deep-research/trust); [lever trust report](/tools/niansong1996-lever/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=dzhng-deep-research`](/api/graphcanon/graph?tool=dzhng-deep-research)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
