plexe-ai/plexe

Health v2 · maintenance only

Adoption not part of the score

2614 stars · 255 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Plexe is a Python library and CLI that builds machine learning models from natural language descriptions using a multi-agent AI workflow. You provide a tabular dataset and an intent, and it autonomously selects metrics, searches for models, and packages a deployable model artifact.

Use cases

• build an ml model from a prompt
• automate model training on tabular data
• predict outcomes from a csv dataset without writing ml code
• auto-select the best model architecture for my dataset
• generate a deployable model package from natural language intent
• run automated ml experiments with ai agents

When to choose

• you want to build tabular ML models without manual feature engineering or model selection
• you have a labeled dataset and can describe the prediction task in plain language
• you want a self-contained model package deployable without plexe dependencies

When to avoid

• you need fine-grained manual control over every training step
• your data is unstructured text, images, or audio rather than tabular
• you cannot share data with an LLM-backed agentic pipeline or lack API keys for OpenAI/Anthropic

Facets

library · maturity active

machine-learning agent-framework llm-training cli sdk machine-learning artificial-intelligence data-science developer-tools python cli cross-platform agentic-ai multi-agent automl tabular-data mlops natural-language model-building xgboost pytorch ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="plexe-ai/plexe")