Cherry Studio
Cherry Studio is on a v2.2.0 release branch, fed by automated backports.
Comparison · ai-assistants
Deep Lake vs Docling
A side-by-side editorial comparison of Deep Lake and Docling — release velocity, themes, recent moves, and the top alternatives to consider.
Deep Lake vs Docling: at a glance
What is Deep Lake?
Deep Lake is rebuilding itself as a Postgres extension.
The visible release history is thin — three entries spanning a version 3 patch and two version 4 releases. The 4.x work splits between the core dataset format and pg_deeplake, a Postgres extension that has been gaining SQL type support, automatic table reload and library preloading. The 4.4.1 release added a storage directory listing API, mesh type support, PLY visualisation, a simple visualiser, and a 30% improvement in LRU cache insertion time.
What is Docling?
Docling adds Surya 2.5 and calendar files while patching format edge cases daily.
Docling ships almost daily. 2.149.0 adds opt-in extraction of images embedded in PDFs, a reworked CLI, mlx-audio speech recognition and a MiniCPM-OCR preset, plus fixes across Markdown, LaTeX, JATS, HTML and CSV. 2.148.0 added Surya v2.5 and an iCalendar backend, and 2.146.0 brought three more OCR presets.
Deep Lake vs Docling: editorial side-by-side
Deep Lake
0.0AI-ASSISTANTS
Deep Lake is rebuilding itself as a Postgres extension.
◆ Current state
The visible release history is thin — three entries spanning a version 3 patch and two version 4 releases. The 4.x work splits between the core dataset format and pg_deeplake, a Postgres extension that has been gaining SQL type support, automatic table reload and library preloading. The 4.4.1 release added a storage directory listing API, mesh type support, PLY visualisation, a simple visualiser, and a 30% improvement in LRU cache insertion time.
◆ Where it's heading
Two things stand out. The query engine was separated from the execution module and group-by execution was pulled out on its own, which is architecture work done ahead of features rather than after them. And the pg_deeplake investment points at meeting users inside the database they already query rather than asking them to adopt a separate dataset API. Version-locked read-only views fit the same picture — reproducible reads for teams treating datasets as versioned artefacts.
◆ Prediction
The query core separation and group-by refactor were both described as groundwork, so query execution features are the likely next visible step in pg_deeplake.
Docling
5.0AI-ASSISTANTS
Docling adds Surya 2.5 and calendar files while patching format edge cases daily.
◆ Current state
Docling ships almost daily. 2.149.0 adds opt-in extraction of images embedded in PDFs, a reworked CLI, mlx-audio speech recognition and a MiniCPM-OCR preset, plus fixes across Markdown, LaTeX, JATS, HTML and CSV. 2.148.0 added Surya v2.5 and an iCalendar backend, and 2.146.0 brought three more OCR presets.
◆ Where it's heading
Docling keeps widening two lists at once: the OCR and vision models it can run, and the file formats it can read, now including calendars. Most of each release is fixes for real-world documents that break parsers.
◆ Prediction
Expect more model presets as new OCR models appear and more niche formats added in the same style as the .ics backend.
Alternatives to Deep Lake and Docling
Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Deep Lake or Docling.
InvokeAI
InvokeAI 7 reaches beta with projects and a single widget workbench as the new default.
Claude
Claude Enterprise lets finance teams tag project spend by cost code.
LobeChat
LobeHub v2.3.2 adds task labels, MCP Apps in chat and Copilot CLI as an agent.
DocsBot AI
DocsBot closes its launch week with Evals, a way to test bot changes before customers see them.
opencode
opencode's process daemon reaches 0.5.0 and moves to protocol 8.
See all Deep Lake alternatives → · See all Docling alternatives →
Recent activity from Deep Lake and Docling
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDoclingDocling 2.149: embedded PDF images, new CLI, mlx-audio ASR
- 4d agoDoclingSurya v2.5, an iCalendar backend and PDF sub/superscripts
- 5d agoDoclingInline whitespace fixes across backends
- 6d agoDoclingNew OCR presets: Unlimited-OCR 2, LightOnOCR-3, Nemotron 3.5
- 11d agoDoclingRapidOCR page orientation and InputDocument.release()
- 12d agoDoclingOCR replaces broken PDF text layers; --heading-hierarchy option
- 11mo agoDeep LakeMesh type support, dataset visualisers and faster cache insertion
- 1y agoDeep Lakepg_deeplake gains CHAR types, auto table reload and a split query core
- 1y agoDeep Lake3.x line allows numpy v2
Frequently asked questions
What is the difference between Deep Lake and Docling?
They serve adjacent needs but don't currently overlap on shipped themes. Docling is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Deep Lake better than Docling?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Docling is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.
What are the best alternatives to Deep Lake?
Top Deep Lake alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Deep Lake alternatives" section above for the current picks, or visit /alternatives/deeplake for the full list with editorial commentary on each.
What are the best alternatives to Docling?
Top Docling alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Docling alternatives" section above for the current picks, or visit /alternatives/docling for the full list with editorial commentary on each.