ExoMiner

Level 24: Astronomy & Astrophysics

Science · Level 24

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In short

ExoMiner is an AI tool in the Astronomy & Astrophysics category from NASA (Exoplanet Science Institute / Ames Research Center) in United States. The pricing model is free. It is available in English only.

Company HQUnited States· NASA (Exoplanet Science Institute / Ames Research Center)(unconfirmed)

What is ExoMiner?

ExoMiner is a NASA-developed, deep learning-based framework designed for identifying exoplanets within astronomical datasets. It processes light curve data collected by the Kepler and K2 telescopes to distinguish between genuine planet candidates and false positives caused by instrumental noise or astrophysical phenomena. The tool serves as a high-precision classifier that complements and accelerates human-led analysis.

The system utilizes a convolutional neural network architecture specifically trained to detect subtle patterns in stellar brightness fluctuations. Since manual inspection of thousands of light curves is extremely time-consuming, ExoMiner provides an automated solution that delivers consistent and reproducible results. Scientists can use the model to efficiently validate their hypotheses and identify new discoveries within existing datasets.

The software is available as an open-source project on GitHub, ensuring transparency and flexibility for the scientific community. Researchers can download the source code to apply it to their specific datasets or further refine the model as needed. Through this open approach, the tool fosters collaboration in astrophysical research and facilitates broad application in space science.

Core features & strengths

  • Automated Classification — The tool automatically analyzes light curves to differentiate between confirmed exoplanets and false-positive signals. This significantly reduces the manual workload when screening large astronomical datasets.
  • Deep Learning Model — Based on convolutional neural networks, the system identifies complex patterns in astronomical data. The model architecture is optimized for high precision in distinguishing between noise and planetary transit signals.
  • Open-Source Framework — The source code is available to the scientific community for free use and customization. This allows for integration into existing research pipelines and ensures the transparency of the methods applied.

Who is this tool for?

The tool is primarily aimed at astrophysicists, data scientists in astronomy, and research institutions. It is designed for experts with experience in data analysis and working with astronomical time-series data.

Typical use case

An astrophysics team wants to investigate Kepler space telescope data for previously overlooked planets. Instead of manually evaluating thousands of light curves, the researchers import the dataset into a local ExoMiner instance. The system processes the data and flags candidates that are highly likely to be genuine exoplanets. The team can then focus their deeper analysis solely on these flagged signals, significantly accelerating the discovery process.

What is ExoMiner good for?

  • The tool is primarily aimed at astrophysicists, data scientists in astronomy, and research institutions. It is designed for experts with experience in data analysis and working with astronomical time-series data.
  • An astrophysics team wants to investigate Kepler space telescope data for previously overlooked planets.
  • Automated Classification: The tool automatically analyzes light curves to differentiate between confirmed exoplanets and false-positive signals. This significantly reduces the manual workload when screening large astronomical datasets.
  • Deep Learning Model: Based on convolutional neural networks, the system identifies complex patterns in astronomical data. The model architecture is optimized for high precision in distinguishing between noise and planetary transit signals.
  • Open-Source Framework: The source code is available to the scientific community for free use and customization. This allows for integration into existing research pipelines and ensures the transparency of the methods applied.

When a different tool fits better

ExoMiner is not intended for general machine learning tasks or applications outside of astronomy. Furthermore, it is not suitable for end-users who lack the technical expertise required for software installation and model training.

Pricing & plans

ExoMiner is an open-source project by NASA, available under the NASA Open Source Agreement v1.3 license at no cost.Open source

Supported languages

DEGerman — not supportedENEnglish — fully supported

The tool is primarily designed for English-language technical documentation and code comments.

Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.

Privacy & GDPR

Pure NASA open-source project. The pipeline runs locally or in a cloud of your choice; no data needs to be sent to NASA.

Fact sheet

Fact sheet with the key data
VendorNASA (Exoplanet Science Institute / Ames Research Center)
HeadquartersUnited States
CategoryAstronomy & Astrophysics
Pyramid levelLevel 24 – Astronomy & Astrophysics
Pricing modelFree
Free forever optionYes
Open SourceNo
Entry planOpen Source: 0 (0)
Germannot supported
Englishinterface and content
Privacy classificationGDPR / EU
Data processing agreementNo specific business contract is required as the software is provided under an open-source license.

Alternatives to ExoMiner

  • ALeRCE — Free · HQ: Santiago, Chile · Unclear
  • AstroLens — Free · HQ: United States · GDPR / EU
  • Astrometry.net (Nova) — Free · HQ: New York, United States · Unclear
  • Galaxy Zoo — Free · HQ: Oxford, United Kingdom · Unclear
  • GraXpert — Free · HQ: Germany · GDPR / EU

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Frequently asked questions

How much does ExoMiner cost?

ExoMiner is an open-source project by NASA, available under the NASA Open Source Agreement v1.3 license at no cost. Current plans: Open Source: 0 (0).

Is ExoMiner free?

Yes. ExoMiner is open source and free to use; hosting or API costs may apply depending on how you run it. The software requires your own infrastructure for installation and execution. No API costs as it runs locally.

Does ExoMiner support German?

No. ExoMiner is English-only and has no German interface. The tool is primarily designed for English-language technical documentation and code comments.

How does ExoMiner handle data privacy?

As it is an open-source software, all data remains on the user's systems. NASA does not train models using user data. Since the software runs locally, sensitive scientific data can be processed, provided your own IT infrastructure is sufficiently secured.

Who is behind ExoMiner?

ExoMiner is operated by NASA (Exoplanet Science Institute / Ames Research Center), headquartered in United States.

Where does ExoMiner sit in the AI Tool Pyramid?

ExoMiner sits on level 24 (“Astronomy & Astrophysics”) and belongs to the Astronomy & Astrophysics category. Levels group tools by topic and are not a ranking.

Is ExoMiner GDPR-compliant?

ExoMiner operates at European data protection level: the vendor documents EU processing or EU data centres and offers a data processing agreement. For business use, concluding that agreement remains mandatory.

What are alternatives to ExoMiner?

Comparable tools in the same category are ALeRCE, AstroLens, Astrometry.net (Nova), Galaxy Zoo. They differ mainly in pricing model, company location and data protection level, so a direct comparison is worthwhile before deciding.