Kavla is an infinite canvas for exploratory analysis. It's all about embracing the analytical mess. Paste a picture, draw some shapes, write some SQL, make a chart. Compared to a notebook, in Kavla you can easily branch your analysis and keep the dead ends around.
For a better understanding on what you can do, check out kavla.dev. There you can also try the web version.
It's built with tldraw and duckdb. It can connect to a few databases, see list below.
See the release page on github or go to https://kavla.dev/download
Simply install the desktop app as you would normally on your system. Double click works on debian! (I dont have a Mac so I don't know if that works. Please let me know in an issue!)
Download the CLI from the release page, then run:
kavla run
This will start a web server that serves the application on http://localhost:40743/.
docker run --rm -p 40743:40743 -v kavla-data:/data aleda145/kavla:latest
Or see compose.yaml
There is no access control for the web server. Don't put it online without adequate security!
| Source | Type | Connection |
|---|---|---|
| DuckDB | duckdb | Path to an existing DuckDB file |
| Directory | directory | Path to a directory with CSV, Parquet, or JSON files |
| BigQuery | bigquery | Google Cloud project ID (experimental) |
| Postgres | postgres | Postgres URI |
If you are interested in live multiplayer and sharing canvases with your team, check out the offering on kavla.dev
After signing up you can use the same CLI to interact with kavla.dev canvases:
kavla login
kavla connect
Or connect directly:
kavla connect <room_id>
Kavla's original source code is licensed under the Apache License 2.0.
Third-party components remain under their own terms. See Third-party software and licenses, including the separately licensed tldraw SDK and the bundled tldraw 3.15.4 license.
16 commits
TypeScript
62.2%
Go
32.9%
Python
1.3%
Shell
1.2%
Kavla is an infinite canvas for exploratory analysis. It's all about embracing the analytical mess. Paste a picture, draw some shapes, write some SQL, make a chart. Compared to a notebook, in Kavla you can easily branch your analysis and keep the dead ends around.
For a better understanding on what you can do, check out kavla.dev. There you can also try the web version.
It's built with tldraw and duckdb. It can connect to a few databases, see list below.
See the release page on github or go to https://kavla.dev/download
Simply install the desktop app as you would normally on your system. Double click works on debian! (I dont have a Mac so I don't know if that works. Please let me know in an issue!)
Download the CLI from the release page, then run:
kavla run
This will start a web server that serves the application on http://localhost:40743/.
docker run --rm -p 40743:40743 -v kavla-data:/data aleda145/kavla:latest
Or see compose.yaml
There is no access control for the web server. Don't put it online without adequate security!
| Source | Type | Connection |
|---|---|---|
| DuckDB | duckdb | Path to an existing DuckDB file |
| Directory | directory | Path to a directory with CSV, Parquet, or JSON files |
| BigQuery | bigquery | Google Cloud project ID (experimental) |
| Postgres | postgres | Postgres URI |
If you are interested in live multiplayer and sharing canvases with your team, check out the offering on kavla.dev
After signing up you can use the same CLI to interact with kavla.dev canvases:
kavla login
kavla connect
Or connect directly:
kavla connect <room_id>
Kavla's original source code is licensed under the Apache License 2.0.
Third-party components remain under their own terms. See Third-party software and licenses, including the separately licensed tldraw SDK and the bundled tldraw 3.15.4 license.
16 commits
TypeScript
62.2%
Go
32.9%
Python
1.3%
Shell
1.2%