MLJAR Studio vs Pecan AI
MLJAR Studio
mljar.comPecan AI
pecan.aiSide by side
| Figure | MLJAR Studio | Pecan AI |
|---|---|---|
| Price from | $20/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 4 | 3 |
| Spec score · Low-Code Machine Learning Platforms Software | 8.0 (#7) | 6.8 (#16) |
| Audience | The maker describes Studio as suitable for beginners and experts and says it serves analysts, data scientists, and teams working with data. | Pecan says its product is for data and business teams, including marketing, sales, operations, customer success, and finance. |
| Company | MLJAR identifies its founders as Aleksandra Płońska and Piotr Płoński on its About page. | Pecan says it was founded in 2018. |
Plans
MLJAR Studio
- FreeFree
- Pro$20 a month
- Business$60 a month
- Perpetual license$199, paid once
In their own words
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.