Datalore vs Dnote

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.

Dnote is a free, open-source terminal notebook for storing commands, snippets, and insights, then locating them with full-text search. It runs locally on Linux, macOS, and Windows, with an API platform option and self-hosted deployment. Notes live in books; Dnote creates a book automatically when its first note is added. Editing uses the text editor configured on your system, whether terminal-based or graphical. The command-line client stores data in SQLite and follows the XDG Base Directory convention for configuration and data paths. You can optionally run a self-hosted server to synchronize notes between devices. That server exposes a REST API for notes and books, reachable from any HTTP client, while the CLI accepts standard-input piping. Deployment options include Docker Compose, Docker, or a standalone binary. The web note-taking interface was removed, and end-to-end encryption was removed according to the maker.