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[GH-ISSUE #15578] Add MLJAR Studio integration to Ollama integrations page #87634

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opened 2026-05-10 06:11:05 -05:00 by GiteaMirror · 4 comments
GiteaMirror commented 2026-05-10 06:11:05 -05:00
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Originally created by @pplonski on GitHub (Apr 14, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/15578

I would like to propose adding MLJAR Studio as an official integration in the Ollama integrations list https://docs.ollama.com/integrations

MLJAR Studio is a desktop application for AI-powered data analysis, built on top of Python notebooks.

We already support Ollama in MLJAR Studio:

MLJAR Studio allows users to work with LLMs directly in a notebook environment, combining AI chat with Python-based data analysis workflows. We’d be happy to be included in the integrations list 🙂

Let me know if you need any additional details!

Originally created by @pplonski on GitHub (Apr 14, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/15578 I would like to propose adding MLJAR Studio as an official integration in the Ollama integrations list https://docs.ollama.com/integrations MLJAR Studio is a desktop application for AI-powered data analysis, built on top of Python notebooks. We already support Ollama in MLJAR Studio: - Local Ollama: https://mljar.com/docs/llm-providers/ollama-local/ - Cloud Ollama: https://mljar.com/docs/llm-providers/ollama-cloud/ The integration is fully implemented and running very well in practice. MLJAR Studio allows users to work with LLMs directly in a notebook environment, combining AI chat with Python-based data analysis workflows. We’d be happy to be included in the integrations list 🙂 Let me know if you need any additional details!
GiteaMirror commented 2026-05-10 06:11:06 -05:00
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@PureBlissAK commented on GitHub (Apr 18, 2026):

🤖 Automated Triage & Analysis Report

Issue: #15578
Analyzed: 2026-04-18T18:19:50.033039

Analysis

  • Type: unknown
  • Severity: medium
  • Components: unknown

Implementation Plan

  • Effort: medium
  • Steps:

This issue has been triaged and marked for implementation.

<!-- gh-comment-id:4274305522 --> @PureBlissAK commented on GitHub (Apr 18, 2026): <!-- ollama-issue-orchestrator:v1 issue:15578 --> ## 🤖 Automated Triage & Analysis Report **Issue**: #15578 **Analyzed**: 2026-04-18T18:19:50.033039 ### Analysis - **Type**: unknown - **Severity**: medium - **Components**: unknown ### Implementation Plan - **Effort**: medium - **Steps**: *This issue has been triaged and marked for implementation.*
GiteaMirror commented 2026-05-10 06:11:08 -05:00
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@MiladZarour commented on GitHub (May 6, 2026):

Hi, I’d like to work on this if it’s still available.

I’ll keep the PR docs-only and small: add MLJAR Studio to the integrations docs with links to its Ollama local/cloud setup pages, following the existing integration page style.

<!-- gh-comment-id:4391097863 --> @MiladZarour commented on GitHub (May 6, 2026): Hi, I’d like to work on this if it’s still available. I’ll keep the PR docs-only and small: add MLJAR Studio to the integrations docs with links to its Ollama local/cloud setup pages, following the existing integration page style.
GiteaMirror commented 2026-05-10 06:11:10 -05:00
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@pplonski commented on GitHub (May 7, 2026):

looks good for me, maybe it will be better to add app screenshots? You can find screenshots at https://mljar.com/docs/llm-providers/ollama-local/ and https://mljar.com/docs/llm-providers/ollama-cloud/

<!-- gh-comment-id:4396701628 --> @pplonski commented on GitHub (May 7, 2026): looks good for me, maybe it will be better to add app screenshots? You can find screenshots at https://mljar.com/docs/llm-providers/ollama-local/ and https://mljar.com/docs/llm-providers/ollama-cloud/
GiteaMirror commented 2026-05-10 06:11:12 -05:00
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@MiladZarour commented on GitHub (May 7, 2026):

Hi @pplonski
Thanks, good idea. I added the local and cloud setup screenshots from the MLJAR docs to the integration page.

<!-- gh-comment-id:4399118510 --> @MiladZarour commented on GitHub (May 7, 2026): Hi @pplonski Thanks, good idea. I added the local and cloud setup screenshots from the MLJAR docs to the integration page.
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