Alternatives to NeuroNER

TimeCopilot is an open-source AI forecasting agent that picks, validates, and explains time series models from a plain-English prompt.

AutoGluon: open-source AutoML that trains tabular, time series, and multimodal ML models in 3 lines of Python.

Open-source agentic AI data assistant that writes SQL, runs code in a sandbox, and chats with your self-hosted databases

Open-source SQL data warehouse on object storage — BI analytics, vector search, full-text search and geospatial in one engine

Open-source GenBI engine that gives AI agents a governed context layer for SQL and dashboards

SQLBot turns plain-language questions into SQL, answers and charts over your own MySQL or PostgreSQL database — open source and self-hosted.

Open-source, MIT-licensed framework that runs LLM-driven generate-evaluate-rewrite loops for quantitative factor mining and ML experimentation.

Open-source Python framework for building, versioning, and deploying ML, AI, and data science workflows to the cloud.

OneKE is an open-source bilingual knowledge extraction framework for NER, relation and event extraction from unstructured text.

Julius AI turns plain-English questions about your CSV, Excel, or Postgres data into charts, statistical tests, and regression models.

Pecan AI turns plain-English questions into customer churn, LTV, and conversion predictions that land in your CRM.

Definite turns plain-English questions into self-hosted data apps backed by 500+ connectors and an AI analyst named Fi.

Airbyte replicates data from 700+ sources and serves it to AI agents as governed context through its MCP server and Context Store.

Amazon SageMaker unifies data, analytics, and AI so teams can build, train, and deploy ML and foundation models on AWS.

Generate interactive 3D models and charts in the Gemini app from a single prompt

HEROZ builds custom Japanese-language AI and AI meeting minutes (HEROZ ASK) for enterprises

Explore experimental AI models for cyclone forecasting from Google, now with live lightning and storm cell tracking.

Deepnote is a collaborative cloud notebook for Python and SQL where humans and AI agents build analyses, dashboards, and data apps together.

AI quality platform that helps complex-product manufacturers detect, investigate, and fix customer product issues earlier.

Observable is a reactive JavaScript notebook for building interactive data visualizations and shareable data apps in the browser.

Hex is an AI analytics workspace where a conversational agent and a SQL/Python notebook share one governed context layer.

Embed AI-generated dashboards and conversational BI chat inside your own product, white-labeled to match your brand.

Databricks runs your lakehouse data, analytics and production AI agents on one governed platform across AWS, Azure and GCP.

Obviously AI is now Zams — the archived obviously.ai domain shows the old no-code machine learning workflow: CSV in, predictive model out,

OneSchema runs AI agents over 10GB+ files to ingest, normalize, and validate enterprise data for regulated industries.

Chat2DB turns plain English into runnable SQL across 40+ databases — with AI text-to-SQL that keeps your rows on your own machine.

Python data apps with Plotly Dash: build interactive analytics dashboards using pure-Python callbacks and no front-end code.

Query any Hugging Face dataset as Parquet through a free REST API — no full download needed.

Healthcare price transparency data turns into negotiable rate benchmarks, provider rate scores, and traceable answers for US payer and

Granica is an efficiency layer for enterprise AI that cuts data lake storage costs and keeps long-running agent state alive.