Prodigy
prodi.gy
What it is
Prodigy is a downloadable developer tool for creating training and evaluation data for machine learning models. Its browser-based app supports annotation of text, images, audio, video, relations, and multiple choice. Computer vision workflows include image classification, segmentation, and object detection; built-in recipes cover named entity recognition, text classification, dependency parsing, transcription, speaker diarization, training, and evaluation. Active learning models are included for named entity recognition, text classification, part-of-speech tagging, and dependency parsing. Users can create workflows with Python recipes and build interfaces using HTML, CSS, and JavaScript. Prodigy supports spaCy, has plugins for Hugging Face models, and integrates with major LLM API providers. Data is accessible through Python and the command line, and can be stored in SQLite, MySQL, or PostgreSQL, or exported to JSON. It runs on the user's own machines, including air-gapped machines, and its Python web server can be deployed in the cloud or on-premise. Personal costs $390, paid once, excluding tax; Company costs $490, paid once per seat in packs of five, excluding tax. Both include 12 months of free upgrades. Prodigy assumes basic Python and command-line familiarity; trials are not offered to individuals.
Spec sheet
- Purpose
- Prodigy is a downloadable developer tool for creating training and evaluation data for machine learning models.Read 30 Sep 2026 · prodi.gy
- Audience
- Prodigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while annotation tasks can be completed in its web app without programming experience.Read 30 Sep 2026 · prodi.gy
- Deployment
- The standard Python web server can be deployed on any cloud provider or entirely on-premise.Read 30 Sep 2026 · prodi.gy
- Trial
- The maker offers hosted virtual-machine trials to companies and organizations, and can arrange a trial license and installer for privacy-sensitive use cases; hosted trials are not offered to individuals.Read 30 Sep 2026 · prodi.gy
- Integrations
- Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers.Read 30 Sep 2026 · prodi.gy
- Privacy
- Prodigy runs on the user's own machines, does not connect to the maker's or third-party servers, and can operate on an air-gapped machine.Read 30 Sep 2026 · prodi.gy
- Support
- The Personal license includes community forum support; Company licenses include priority forum and email support.Read 30 Sep 2026 · prodi.gy
- Headquarters
- Berlin, GermanyRead 28 Sep 2026 · prodi.gy
- Active learning
- Prodigy includes active learning models for named entity recognition, text classification, part-of-speech tagging, and dependency parsing.Read 30 Sep 2026 · prodi.gy
- Annotation
- Its customizable browser-based app supports annotation workflows for text, images, audio, video, relations, multiple choice, and more.Read 30 Sep 2026 · prodi.gy
- Built-in workflows
- Built-in recipes cover tasks including named entity recognition, text classification, dependency parsing, transcription, speaker diarization, training, and evaluation.Read 30 Sep 2026 · prodi.gy
- Computer vision
- Prodigy supports image classification, segmentation, and object detection.Read 30 Sep 2026 · prodi.gy
- Customization
- Users can create custom workflows with Python recipes and build interfaces using HTML, CSS, and JavaScript.Read 30 Sep 2026 · prodi.gy
- Data access
- Data is accessible through a Python API and command-line interface and can be stored in SQLite, MySQL, or PostgreSQL or exported to JSON.Read 30 Sep 2026 · prodi.gy
- Eligibility limit
- The maker says it refuses to provide Prodigy to organizations primarily engaged in military, law enforcement, intelligence, or national security work, with regulatory agencies and tax authorities exempted.Read 30 Sep 2026 · prodi.gy
Plans and prices
Strong points and limits
Strong points
- Supports text, image, audio, and video annotation.
- Custom workflows use Python recipes.
- Data can stay on air-gapped machines.
- Exports data to JSON.
Limits
- No free plan.
- Personal and Company licenses exclude tax.
- Company seats are sold in packs of five.
- Hosted trials are not offered to individuals.
Who it suits
Prodigy suits developers who need to build or tailor annotation workflows and are comfortable with basic Python and the command line. Annotation itself can be done in its web app without programming experience.
Verdict
Prodigy provides broad annotation options and lets teams keep data on their own infrastructure, including air-gapped machines. Its developer-oriented setup and trial eligibility limits are important to weigh before choosing a license.
Where Specifiction places it
- Active Learning Tools#2 of 167.9
- Data Labeling Software#12 of 248.0