Deepnote vs Google Colab
Deepnote
deepnote.com
Google Colab
colab.research.google.comSide by side
| Figure | Deepnote | Google Colab |
|---|---|---|
| Price from | $3,920/mo | $8.33/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 9 |
| Spec score · Data Science Platforms | 8.5 (#4) | 9.0 (#2) |
| Spec score · Coding Playgrounds | 8.7 (#21) | 9.3 (#4) |
| Spec score · Data Science and Machine Learning Platforms | 8.4 (#5) | 9.0 (#1) |
| Spec score · Data Science Analytics | 8.4 (#7) | 9.0 (#3) |
| Spec score · Notebook Software | 8.7 (#6) | 9.2 (#2) |
| Free plan | Yes | Yes |
| Integrations | The maker lists built-in integrations including PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. | Users can import data from Google Drive, spreadsheets, GitHub, and other sources, and the site lists Google Cloud Storage, Sheets, and BigQuery resources. |
| Support | Deepnote provides all customers technical support through Intercom and email on weekdays from 9 am to 5 pm Pacific Time as a minimum. | Users can report bugs or ask questions through Help > Send feedback in any Colab notebook. |
Plans
Google Colab
- Colab Pro$8.33 a month
- Colab Pro+$41.66 a month
- ColabFree
- Colab freeFree
- Colab EnterprisePriced on request
- Colab ProPrice not published
- Colab Pro+Price not published
- Colab Pro / Pro+ / Pay As You GoPriced on request
- Pay As You GoPrice not published
In their own words
Deepnote
Deepnote is an AI workspace for data professionals working on data analysis, exploration, and machine learning. Its copilot can chat with data, make charts, and write code; notebooks can also become dashboards or interactive apps with live data. Teams can collaborate in notebooks, comment on blocks, and share work by link or email invitation. Notebooks can run on hourly, daily, weekly, or monthly schedules, or be deployed as APIs. Listed integrations include PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. Deepnote supports Python, SQL, R, and Stata, with a hybrid execution model and notebook formats including .deepnote, .ipynb, .qmd, .py, and PDF. The free plan allows up to three editors and five projects, with seven-day revision history. Paid pricing starts at $39/user/mo (annual); a 14-day trial is listed. Deepnote says it has SOC 2 Type II certification, encrypts data at rest and in transit, and does not use customer data to improve AI or ML models.
Google Colab
Google Colab lets users write and run Python in a browser without configuring a local environment, with access to GPUs and notebook sharing. Its hosted Jupyter notebooks combine executable code with rich text, images, HTML, and LaTeX. Data can come from Google Drive, spreadsheets, GitHub, and other sources, with Google Cloud Storage, Sheets, and BigQuery resources listed for integration. Colab AI can generate or transform code, explain Python libraries, suggest fixes, and perform multi-step data-analysis workflows. By default, it does not access Drive files or user secrets, though it can generate code to access them when explicitly requested. Google says generative-AI features collect prompts, related code, outputs, usage information, and feedback; human reviewers may process that data for up to 18 months. Free notebooks can run for at most 12 hours, depending on availability and usage. Pro+ supports continuous execution up to 24 hours when enough compute units are available. Colab also has a Visual Studio Code extension and a beta, allowlist-gated API. Paid plans start at 8.33 USD/user/mo (annual).