Best AI Datasets 2026
The #1 ai datasets in 2026 is csv con una Puntuación de Confianza Nerq de 83/100 (A-), based on Nerq's independent analysis of 50 ai datasets across 5 trust dimensiones. Se actualiza diariamente — última actualización: 2026-11-06.
Según Nerq's analysis, the top 5 ai datasets by trust score are: 1. csv (83/100), 2. @wordpress/fields (82/100), 3. @wordpress/dataviews (82/100), 4. datasets (81/100), 5. huggingface-hub (81/100). Nerq Trust Scores range from 67 to 83 among the top 50. Scores are based on 5 independent trust dimensiones including seguridad, mantenimiento, and adopción por la comunidad. Se actualiza diariamente.
| # | Nombre | Confianza | Grado |
|---|---|---|---|
| 1 | csv | 83 | A- |
| 2 | @wordpress/fields | 82 | A- |
| 3 | @wordpress/dataviews | 82 | A- |
| 4 | datasets | 81 | A- |
| 5 | huggingface-hub | 81 | A- |
| 6 | @sqlrooms/data-table | 76 | B+ |
| 7 | datasketch | 76 | B+ |
| 8 | @humanspeak/svelte-virtual-list | 74 | B |
| 9 | @llm-tools/embedjs | 74 | B |
| 10 | @edgeandnode/amp | 74 | B |
Top 50 AI Datasets por Nerq Trust Score
| # | Nombre | Confianza | Grado | Estrellas | Descripción |
|---|---|---|---|---|---|
| 1 | csv | 83 | A- | 1552.1k | A mature CSV toolset with simple api, full of options and tested against large datasets. |
| 2 | @wordpress/fields | 82 | A- | 27.3k | DataViews is a component that provides an API to render datasets using different types of layouts (t... |
| 3 | @wordpress/dataviews | 82 | A- | 47.6k | DataViews is a component that provides an API to render datasets using different types of layouts (t... |
| 4 | datasets | 81 | A- | 16324.3k | HuggingFace community-driven open-source library of datasets |
| 5 | huggingface-hub | 81 | A- | 119015.4k | Client library to download and publish models, datasets and other repos on the huggingface.co hub |
| 6 | @sqlrooms/data-table | 76 | B+ | 4.1k | A high-performance data table component library for SQLRooms applications. This package provides fle... |
| 7 | datasketch | 76 | B+ | 6569.2k | Probabilistic data structures for processing and searching very large datasets |
| 8 | @humanspeak/svelte-virtual-list | 74 | B | 2.6k | A lightweight, high-performance virtual list component for Svelte 5 that renders large datasets with... |
| 9 | @llm-tools/embedjs | 74 | B | 174 | A NodeJS RAG framework to easily work with LLMs and custom datasets |
| 10 | @edgeandnode/amp | 74 | B | 176 | Build and manage blockchain datasets. |
| 11 | @friendliai/ai-provider | 72 | B | 94 | <!-- header start --> <p align="center"> <img src="https://huggingface.co/datasets/FriendliAI/docu... |
| 12 | @datawheel/vizbuilder | 72 | B | 11 | A React component that generates multiple kinds of charts from a tesseract-olap dataset. |
| 13 | autoviz | 72 | B | 3.4k | Automatically Visualize any dataset, any size with a single line of code |
| 14 | vaex | 72 | B | 4.9k | Out-of-Core DataFrames to visualize and explore big tabular datasets |
| 15 | rio-tiler | 72 | B | 388.5k | User friendly Rasterio plugin to read raster datasets. |
| 16 | hapi-csv | 72 | B | 441 | Hapi plugin for converting a Joi response schema and dataset to csv |
| 17 | pyiceberg | 72 | B | 37398.9k | Apache Iceberg is an open table format for huge analytic datasets |
| 18 | @lovrabet/dataset-mcp-server | 72 | B | 309 | MCP server for Lovrabet Dataset access |
| 19 | process-versions | 71 | B | 130 | A dataset showing the compiled process version dependencies of different Node.js versions |
| 20 | seqio-nightly | 71 | B | 258.8k | SeqIO: Task-based datasets, preprocessing, and evaluation for sequence models. |
| 21 | vue-dataset | 71 | B | 584 | A vue component to display datasets with filtering, paging and sorting capabilities! |
| 22 | kedro-datasets | 71 | B | 1700.2k | Kedro-Datasets is where you can find all of Kedro's data connectors. |
| 23 | @donedeal0/superdiff | 70 | B | 8.4k | Superdiff provides a rich and readable diff for arrays, objects, texts and coordinates. It supports ... |
| 24 | abses | 70 | B | 116 | ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets ... |
| 25 | pybids | 70 | B | 115.6k | bids: interface with datasets conforming to BIDS |
| 26 | cellxgene-schema | 70 | B- | 267 | Tool for applying and validating cellxgene integration schema to single cell datasets |
| 27 | rasterstats | 70 | B- | 337.3k | Summarize geospatial raster datasets based on vector geometries |
| 28 | azureml-opendatasets | 70 | B- | 8.4k | Provides a set of APIs to consume Azure Open Datasets. |
| 29 | ancpbids | 69 | B- | 3.7k | Read/write/validate/query BIDS datasets |
| 30 | @ldo/jsonld-dataset-proxy | 69 | B- | 754 | Edit RDFJS Dataset just like regular JavaScript Object Literals. |
| 31 | @muze-nl/simplystore | 69 | B- | 1 | SimplyStore is a radically simpler backend storage server. It does not have a database, certainly no... |
| 32 | img2dataset | 69 | B- | 82.2k | Easily turn a set of image urls to an image dataset |
| 33 | node-dataset | 69 | B- | 100 | A Node.js module for working with data sets created in code, loaded from files, or retrieved from a ... |
| 34 | tfds-nightly | 69 | B- | 84.6k | tensorflow/datasets is a library of datasets ready to use with TensorFlow. |
| 35 | imbalanced-learn | 68 | B- | 14138.4k | Toolbox for imbalanced dataset in machine learning |
| 36 | data_magic | 68 | B- | 14364.0k | Provides datasets to application stored in YAML files |
| 37 | cellxgene | 68 | B- | 868 | Web application for exploration of large scale scRNA-seq datasets |
| 38 | cemba-data | 68 | B- | 4 | Pipelines for single nucleus methylome and multi-omic dataset. |
| 39 | act-atmos | 68 | B- | 1.2k | Package for working with atmospheric time series datasets |
| 40 | @vespermcp/mcp-server | 67 | B- | 244 | AI-powered dataset discovery, quality analysis, and preparation MCP server with multimodal support (... |
| 41 | nuscenes-devkit | 67 | B- | 173.2k | The official devkit of the nuScenes dataset (www.nuscenes.org). |
| 42 | azureml-datadrift | 67 | B- | 220 | Contains functionality for data drift detection for various datasets used in machine learning. |
| 43 | arcana | 67 | B- | 618 | Abstraction of Repository-Centric ANAlysis (Arcana): A rramework for analysing on file-based dataset... |
| 44 | azureml-contrib-dataset | 67 | B- | 996 | Contains experimental Dataset features for the azureml-core package. |
| 45 | mnemospark | 67 | B- | 544 | mnemospark is an OpenClaw plugin that gives agentic systems instant, secure access to cloud storage,... |
| 46 | @cherrystudio/embedjs | 67 | B- | 541 | A NodeJS RAG framework to easily work with LLMs and custom datasets |
| 47 | baran | 67 | B- | 1189.5k | Text Splitter for Large Language Model Datasets. |
| 48 | devise-pwned_password | 67 | B- | 2970.8k | Devise extension that checks user passwords against the PwnedPasswords dataset https://haveibeenpwne... |
| 49 | rgeo-shapefile | 67 | B- | 3620.0k | RGeo is a geospatial data library for Ruby. RGeo::Shapefile is an optional RGeo module for reading t... |
| 50 | gruff | 67 | B- | 3776.5k | Beautiful graphs for one or multiple datasets. Can be used on websites or in documents. |
Cómo clasificamos AI Datasets
These ai datasets are ranked por Nerq Trust Score, which evaluates seguridad, mantenimiento, adopción por la comunidad, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. Las puntuaciones se actualizan continuamente a medida que hay nuevos datos.
Preguntas frecuentes
¿Cuáles son los mejores Best AI Datasets en 2026?
Basado en puntuaciones de confianza Nerq, los Best AI Datasets mejor clasificados están listados arriba, evaluados en seguridad, mantenimiento, documentación y adopción comunitaria.
¿Cómo se clasifican los Best AI Datasets?
Nerq clasifica herramientas usando Trust Score v2, que combina análisis de seguridad, actividad de mantenimiento, calidad de documentación y adopción comunitaria.
¿Son seguros estos Best AI Datasets?
Cada herramienta tiene un informe de seguridad individual. Haga clic en cualquier nombre para ver su análisis de confianza detallado.
¿Qué significa un Nerq Trust Score de A?
La calificación A (80–89) significa que la entidad tiene señales fuertes en seguridad, mantenimiento, documentación y adopción comunitaria. A+ (90–100) es la calificación más alta.
¿Cómo evalúa Nerq los Best AI Datasets?
Nerq analiza Best AI Datasets en múltiples dimensiones incluyendo vulnerabilidades, cumplimiento de licencias, actividad de mantenimiento, calidad de documentación y adopción comunitaria. Cada dimensión se puntúa independientemente y se combina en una puntuación de confianza general (0–100).