deeplake — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by activeloopai · Codex Skill · ★ 9.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is deeplake safe to install? View the security audit →

About deeplake

Deep Lake: Database for AI Docs &bull; Get Started &bull; API Reference &bull; LangChain & VectorDBs Course &bull; Blog &bull; Whitepaper &bull; Slack &bull; <a

agentagentic-ragaiclawbotcomputer-visiondatalakedeep-learningfilesystemlarge-language-modelsllm

Quick Facts

Stars9,241
Forks722
LanguageC++
CategoryCodex Skill
LicenseApache-2.0
Quality Score61.368097361976/100
Open Issues64
Last Updated2026-05-21
Created2019-08-09
Est. Tokens~10536k

Compatible Skills

These tools work well together with deeplake for enhanced workflows:

  • zvec — semantic(0.19)+complementary+same_lang+similar_pop (47%)
  • vllm-mlx — semantic(0.19)+complementary+rare_topics+similar_pop (46%)
  • UI-TARS-desktop — semantic(0.17)+complementary+rare_topics+similar_pop (45%)
  • dbhub — semantic(0.16)+complementary+rare_topics+similar_pop (45%)

deeplake alternative? Top 6 similar tools

Looking for a deeplake alternative? If you're comparing deeplake with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • honcho by plastic-labs · ⭐ 7.0k

    Memory library for building stateful agents

  • AI-Infra-Guard by Tencent · ⭐ 6.4k

    A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Sca

  • nexent by ModelEngine-Group · ⭐ 5.9k

    Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering princi

  • ruby_llm by crmne · ⭐ 4.4k

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  • SimpleMem by aiming-lab · ⭐ 3.8k

    SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

  • headroom by chopratejas · ⭐ 44.4k

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answer

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Frequently Asked Questions

What is deeplake?

deeplake is Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.. It is categorized as a Codex Skill with 9.2k GitHub stars.

What programming language is deeplake written in?

deeplake is primarily written in C++. It covers topics such as agent, agentic-rag, ai.

How do I install or use deeplake?

You can find installation instructions and usage details in the deeplake GitHub repository at github.com/activeloopai/deeplake. The project has 9.2k stars and 722 forks, indicating an active community.

What license does deeplake use?

deeplake is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to deeplake?

The top alternatives to deeplake on Agent Skills Hub include honcho, AI-Infra-Guard, nexent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools