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Datalore vs MLJAR Studio

Datalore

jetbrains.com

MLJAR Studio

mljar.com

Side by side

FigureDataloreMLJAR Studio
Price from$29.17/mo$20/mo
Free planYesYes
Free trialYes—
Open source——
WebYes—
Windows—Yes
macOS—Yes
LinuxYesYes
APIYes—
Self-hostedYesYes
Plans published74
Spec score · Data Science Platforms9.2 (#1)7.9 (#11)
PurposeDatalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data.MLJAR Studio is a local AI data workspace for data analysis, machine learning experiments, and Python notebooks.

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

Datalore pricing →

MLJAR Studio

  • FreeFree
  • Pro$20 a month
  • Business$60 a month
  • Perpetual license$199, paid once

MLJAR Studio pricing →

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.

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MLJAR Studio

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.

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