Datalore vs marimo
Datalore
jetbrains.com
marimo
marimo.ioSide by side
| Figure | Datalore | marimo |
|---|---|---|
| Price from | $29.17/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 3 |
| Spec score · Coding Playgrounds | 9.3 (#5) | 8.7 (#24) |
| Spec score · Notebook Software | 9.3 (#1) | 8.6 (#8) |
| Deployment | Datalore On-Premises supports Docker Compose or Kubernetes deployment on 64-bit Linux and does not support ARM, macOS, or Windows hosts. | Notebooks can be served as web apps, executed as scripts, or exported as WebAssembly-powered HTML. |
| Founded | 2000 | 2024 |
| Free plan | Yes | Yes |
| Support | The On-Premises plan includes enterprise-grade customer support and solution architect consultations. | The maker directs users with installation issues to GitHub or Discord and lists [email protected] for general contact. |
| What it does | Datalore is a collaborative web data analytics platform for exploring, analyzing, visualizing and sharing data. | marimo is an open-source reactive Python notebook for reproducible experiments, data work, and building apps. |
Plans
Datalore
- Cloud FreeFree
- Cloud$35 a month
- Cloud FreeFree
- Cloud annual$29.17 a month
- Cloud$35 a month
- Cloud$350.04 a year
- On-PremisesPriced on request
In their own words
Datalore
Datalore is a collaborative data science platform for exploring, analyzing, visualizing and sharing data. Its Jupyter-compatible notebooks provide coding assistance for Python, Kotlin, Scala and R, with native SQL cells that can transfer query results into pandas DataFrames. Teams can edit code together in real time and share notebooks with view or edit access. Notebooks can become data stories or static and interactive reports. Datalore AI can help write Python, SQL and R code, describe findings and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The free plan includes 120 CPU S machine hours and 10 GB of cloud storage. The Cloud plan costs $35 a month, billed monthly. On-Premises deployment runs on 64-bit Linux using Docker Compose or Kubernetes, but not on ARM, macOS or Windows hosts. JetBrains states that Datalore deployments are SOC 2 Type II certified and GDPR compliant.
marimo
marimo is an open-source reactive Python notebook for reproducible experiments, data work, and interactive apps. When a cell runs, dependent cells run as well or are marked stale, helping keep code and outputs consistent. Notebooks are stored as Python files that can be tracked with Git, run as scripts, or reused as modules. Users can build interfaces with sliders, dropdowns, dataframe tables, and selectable plots, then deploy notebooks as interactive web apps or run them in browsers through WebAssembly. SQL cells work with dataframes, databases, CSVs, and Google Sheets, with named backends including Polars, Pandas, PyArrow, DuckDB, SQLite, and Postgres. AI notebook features support OpenAI, Anthropic, Gemini, Ollama, and compatible APIs. marimo has extensions for VS Code and PyCharm, with the VS Code extension also working in Cursor and other VS Code forks. The free hosted option molab provides 4 CPUs, 32 GB RAM, and sessions up to 12 hours; notebooks are public by default. Running notebook code can execute arbitrary code, so the maker advises using trusted notebooks or reviewing code first. The open-source notebook is free.