The Best Kadoa Alternatives in 2026

Jsonify builds extraction pipelines that fetch, process, and verify public data from websites and apps, then keep them running.

DataHub helps users discover, access, and work with datasets, collections, and data solutions through an AI-native platform.

Nomic Atlas organizes large datasets of text, PDFs, images, and embeddings for analytics and AI workflows.

The source for financial, economic, and alternative datasets, serving investment professionals.

Zerve supports research and analytics workflows, with AI agents for data discovery, analysis, reports and production deployment.

Flexor prepares and retrieves unstructured data as context for AI agents, workflows, and enterprise decisions.

This data science agent helps clean datasets, create visualizations and models, and generate reports.

MyLens creates narrated, visual presentations from documents, sources, and ideas using AI agents.

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.

VeritasGraph combines knowledge graphs and GraphRAG for multi hop reasoning and attributed retrieval over user data.

This repository catalogs AI models across providers with pricing, context, modality, and capability data.

BambooAI analyzes data with a language model in a persistent Python kernel and supports web and Docker workflows.

Fiddler provides evaluation, monitoring, enforcement, governance, and cost controls for enterprise AI agents.

Cekura tests voice agents before launch and monitors production conversations for instruction-following, tool calls, and response quality.

AgentOps provides tools to trace, debug, and deploy AI agents, with a Python package and engineering resources.

InterLock proxies AI agent requests to databases, files, and APIs, applying policies, redacting fields, and auditing activity.

agent-learning-kit provides an evaluation and simulation environment for AI-related workflows.

An open source Python library for drift detection in machine learning systems.

Teams can use Dot as an AI data analyst to ask questions, generate SQL and charts, and produce reports through Slack or Teams.

This data science app cleans uploaded datasets, explores statistics, builds models, and generates reports.

MapLight offers data series about federal campaign finance and bills in Congress, for research and media organizations.

ProductBot analyzes customer feedback and market data to help teams decide what products and features to build.

DrivenData hosts data science competitions where participants build predictive models for organizations addressing social challenges.

Ajelix provides AI chat and spreadsheet tools for data analysis, finance, marketing, presentations, and Google Workspace apps.