Deepnote vs MLJAR Studio

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.

MLJAR Studio is a Python workspace for data analysis, machine-learning experiments, and notebooks, with local-first operation. Ask questions in everyday language and it generates and runs analysis code that remains visible and editable. Its experiment agent can tune models, identify useful features, compare models, track experiments, and produce reports. It works with CSV, Excel, and Parquet files, as well as SQL databases such as PostgreSQL, ClickHouse, and MySQL. Notebook projects can become interactive Mercury web apps hosted on your own infrastructure. Available AI providers include MLJAR AI, OpenAI, Ollama local, and Ollama Cloud; Anthropic and OpenAI-compatible providers are also named. Processing is local by default, but configuring an external provider or MLJAR AI cloud add-on can send data externally. With OpenAI configured, prompts and relevant context may be sent under your settings and provider terms. Plans include Free at free, Pro at $20 a month, Business at $60 a month, and a perpetual license at $199 as a one-time purchase. It runs on Linux, macOS, Windows, and self-hosted environments.