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Comparison

deeplake vs electric

Verdict

Pick deeplake if deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training; pick electric if electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types.

Markdown twin · deeplake alternatives · electric alternatives

GraphCanon updated Sep 30, 2026

10views this month

deeplake logo

deeplake

activeloopai/deeplake

★ 9.2kpushed May 21, 2026
vs
electric logo

electric

electric-sql/electric

★ 10kpushed Aug 14, 2026

Trust & integrity

Signaldeeplakeelectric
Maintenance
Slowing (119d since push)
As of Sep 18, 2026 · github_public_v1
Very active (5d since push)
As of Aug 19, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 19, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
deeplake trust reportelectric trust reportTrust methodology

Tagline

deeplake
AI Data Runtime for Agents
electric
An agent platform built on sync.

Stars

deeplake
9.2k
electric
10k

Forks

deeplake
722
electric
366

Open issues

deeplake
67
electric
254

Language

deeplake
C++
electric
TypeScript

Adopt for

deeplake
Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training.
electric
Electric is a platform facilitating data synchronization with Postgres via HTTP API or client integrations, leveraging CRDTs for conflict-free replicated data types.

Persona

deeplake
-
electric
-

Runtime

deeplake
-
electric
-

License

deeplake
Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution.
electric
Apache-2.0

Last pushed

deeplake
May 21, 2026
electric
Aug 14, 2026

Categories

deeplake
Data & Retrieval, Model Training, Vector Databases
electric
AI Agents, Data & Retrieval

Trust and health

Maintenance

deeplake
Slowing (36%)
electric
Very active (96%)

Days since push

deeplake
119d
electric
5d

Open issues (now)

deeplake
67
electric
254

Stars delta

deeplake
+15 (30d)
electric
+53 (30d)

Open issues delta

deeplake
+4 (30d)
electric
-4 (30d)

Full report

deeplake
Trust report
electric
Trust report

Choose deeplake if…

  • deeplake is primarily C++; electric is TypeScript.
  • Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository..
  • Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments..
  • Tags unique to deeplake: agentic-rag, ai, clawbot, computer-vision.
  • Also covers Model Training, Vector Databases.
  • When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.

When NOT to use deeplake

  • If your project does not require serverless PostgreSQL or multimodal data handling capabilities.
  • When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++.
  • If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup.
GitHubDetails

Choose electric if…

  • electric is primarily TypeScript; deeplake is C++.
  • Tags unique to electric: agents, crdt, crdts, data.
  • Also covers AI Agents.
  • You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical.

When NOT to use electric

  • If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms.
  • For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an
GitHubDetails

Explore

deeplake trust report →electric trust report →Data & Retrieval category →Model Training category →Vector Databases category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: deeplake 9.2k · electric 10k (synced Sep 20, 2026).

Common questions

What is the difference between deeplake and electric?
deeplake: AI Data Runtime for Agents. electric: An agent platform built on sync.. See the comparison table for live GitHub stats and shared categories.
When should I choose deeplake over electric?
Choose deeplake over electric when deeplake is primarily C++; electric is TypeScript; Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository.; Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments.; Tags unique to deeplake: agentic-rag, ai, clawbot, computer-vision; Also covers Model Training, Vector Databases; When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
When should I choose electric over deeplake?
Choose electric over deeplake when electric is primarily TypeScript; deeplake is C++; Tags unique to electric: agents, crdt, crdts, data; Also covers AI Agents; You require conflict-free replication for distributed systems where ensuring consistency and managing concurrent updates are critical.
When should I avoid deeplake?
If your project does not require serverless PostgreSQL or multimodal data handling capabilities. When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++. If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup.
When should I avoid electric?
If your project does not involve handling concurrent updates across multiple nodes or needs minimal consistency guarantees since Electric's strength lies in its robust synchronization mechanisms. For scenarios where the primary requirement is rapid data retrieval (read-heavy operations) from a central database without much need for distributed sync capabilities, as Electric might introduce an
Is deeplake or electric more popular on GitHub?
electric has more GitHub stars (10,327 vs 9,239). Stars measure visibility, not whether either tool fits your constraints.
Are deeplake and electric open source?
Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, electric: Apache-2.0).
Where can I find alternatives to deeplake or electric?
GraphCanon lists graph-backed alternatives at deeplake alternatives and electric alternatives (deeplake markdown twin, electric 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, deeplake or electric?
deeplake: Slowing. electric: Very active. 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 deeplake and electric?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; electric trust report.

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