YOUR NEW SPACE FOR MONGODB

Your data.
At your pace.

An open desktop IDE for exploring, querying and understanding your MongoDB. Fewer distractions. More room for what you are building.

Download KapibaraStudioExplore on GitHub

Free and open source · Windows and Linux

A space to think in data.

Explore the project
KapibaraStudio MongoDB
ideas.js playground / ideas
QueryMONGODB
db.getCollection("ideas")
  .find({ status: "ready" })
  .sort({ createdAt: -1 })
  .limit(20)
Results 2 documents
01
"name""Something worth building"
ready
02
"name""The next big idea"
ready
Extended JSONUTF-8 · BSON

Illustrative demonstration with fictional data. The application interface may differ.

MongoDB/.NET 10/Avalonia/MIT

FROM YOUR FIRST FIND TO YOUR NEXT INSIGHT

The essentials. Connected.

A direct path between you, your queries and your data.

01

Explore with context

Browse databases and collections. Know which connection you are using, without running queries when selecting a collection.

02

Write with clarity

A query editor with deterministic autocomplete and formatting. Execute when you are ready, with the context of your tab.

03

Look beyond JSON

Inspect results as JSON or a tree while preserving BSON types such as ObjectId, UUID and dates.

04

Edit with intention

Review changes before writing. Explicit confirmations and read-only profiles help you control operations.

05

Take your results along

Export the loaded page as Extended JSON or CSV and keep working with the tools you already use.

06

Open by nature

Open source under the MIT license. Follow decisions, report issues and help shape the project.

ONE FLOW, START TO FINISH

Connect. Explore. Understand.

From your database to an answer, without losing your train of thought.

  1. 01

    Connect your MongoDB

    Set up a profile, test the connection and choose your database.

  2. 02

    Write your query

    Open a collection and prepare what you want to execute.

  3. 03

    Work with the answer

    Inspect documents, review edits and export results.

Local AI is optional and experimental. The documentation describes the status of administration features and integrations in development. Documentation

READY TO EXPLORE?

Your next workspace starts here.

Choose your system and architecture. Files are distributed directly through GitHub Releases.

Latest publication v0.9.0ExperimentalPublished on
Release notesAll releasesVerify SHA-256 checksums

Experimental project, without a full human review or security audit yet. Use test data; for production, keep backups and read-only credentials. Connection profiles are stored locally without encryption.

OPEN CODE. REAL SUPPORT.

Help this capybara go further.

If KapibaraStudio makes your day easier, consider supporting the project. Your contribution helps sustain development, testing and documentation.

BEFORE YOU START

A few good questions.

Is KapibaraStudio free?

Yes. The project is free and open source under the MIT license. Donations are optional and help sustain development.

Which operating systems are supported?

Packages are available for Windows and Linux on x64 and ARM64. Each package’s availability is shown in the downloads section. There is no official macOS package.

Do I need AI to use the app?

No. Connections, queries and deterministic autocomplete work without an AI model. Local AI features are optional and experimental; see the documentation for limits and requirements.

Can I use it in production?

The product is still experimental and has not undergone a full human review, security audit or production validation. Prefer test databases. If accessing production, use backups and read-only credentials.

How can I contribute?

Visit the GitHub repository to read the guidelines, open an issue or propose a change. You can also contribute financially through GitHub Sponsors.