Best data interoperability research tools in 2025

ScrapeStorm

Effortlessly extract web data without coding skills.

ePlant TreeTag

Monitor tree health and environmental conditions with advanced sensors.

clickworker

Crowdsourced data generation for AI training and development.

CustomersAI

Reliable visitor identification for improved marketing decisions.

FormKeep

Backend for forms that streamlines data collection and management.

Tensorflow

Framework for building machine learning models across various domains.

SciPy

Library for scientific computing with algorithms in Python.

Databar.ai 2.0

Automated data collection and enrichment for informed decision-making.

Dataset Marketplace

Access ready-to-use datasets for informed decision-making.

Okio

Organize and visualize data for informed decision-making.

Tantl

Automate repetitive web tasks without writing code.

Snorkel

Rapidly generates reliable training data for machine learning.

Op

Integrates spreadsheets and code for quick data analysis.

Browse AI

Effortless data extraction from any website with a click.

AI Web Clipper

Quickly extract data from websites with minimal effort.

Totoy

Document simplification and translation for better understanding.

Label Studio

Streamlined data labeling for training machine learning models.

Findly

Advanced data analysis for informed decision-making.

DLib

C++ library for advanced machine learning and image processing.

Amazon SageMaker Ground Truth

Generates high-quality labels for machine learning datasets.

Crowdsnap

Market research with AI-driven surveys and real-time analytics.

Octoparse AI

Create automation workflows effortlessly without coding.

Remesh

Quickly gather insights through live discussions and surveys.

Yadget

Generate large volumes of synthetic data for various projects.

Tamr

Master data management for accurate, reliable business insights.