juliensimon/nasa-exoplanets
NASA Exoplanet Archive Credit: NASA/JPL-Caltech Part of a dataset collection on Hugging Face. Dataset description Confirmed exoplanets with orbital, stellar, and discovery parameters from the NASA Exoplanet Archive. The NASA Exoplanet Archive is the authoritative database of confirmed exoplanets, maintained by Caltech/IPAC under contract with NASA. Each entry represents a confirmed planet with its best-available physical and orbital parameters, host star… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/nasa-exoplanets.
NASA Exoplanet Archive
<div align="center"> <img src="banner.jpg" alt="Artist concept of the surface of TRAPPIST-1f exoplanet" width="400"> <p><em>Credit: NASA/JPL-Caltech</em></p> </div>
Part of a [dataset collection](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) on Hugging Face.
Dataset description
Confirmed exoplanets with orbital, stellar, and discovery parameters from the NASA Exoplanet Archive.
The NASA Exoplanet Archive is the authoritative database of confirmed exoplanets, maintained by Caltech/IPAC under contract with NASA. Each entry represents a confirmed planet with its best-available physical and orbital parameters, host star properties, and discovery information. This dataset uses the Planetary Systems (ps) table with default_flag=1 to select one row per planet with the default parameter set.
The discovery of exoplanets has transformed our understanding of planetary systems and the prevalence of worlds beyond our own. The first confirmed detection around a Sun-like star came in 1995 with 51 Pegasi b, a "hot Jupiter" whose unexpectedly close orbit challenged existing theories of planet formation. Since then, the transit method -- measuring the tiny dip in stellar brightness as a planet crosses its host star -- has become the dominant discovery technique, largely thanks to the Kepler and TESS space telescopes.
The dataset includes key physical parameters such as orbital period, planet radius and mass, equilibrium temperature, orbital eccentricity, and semi-major axis, alongside host star properties like effective temperature, radius, mass, and distance. These parameters are fundamental to characterizing planetary systems: radius and mass together constrain bulk composition (rocky vs. gaseous), equilibrium temperature indicates potential habitability, and eccentricity reveals dynamical history.
This data underpins a wide range of astrophysical research, from occurrence rate calculations (how common are Earth-like planets?) to atmospheric characterization target selection for JWST and future missions.
This dataset is suitable for tabular classification, tabular regression tasks.
Schema
Quick stats
- 6,366 confirmed exoplanets
- Most recent discovery: DMPP-6 c (2026)
By discovery method
Recent discoveries by year
Usage
from datasets import load_dataset
ds = load_dataset("juliensimon/nasa-exoplanets", split="train")
df = ds.to_pandas()from datasets import load_dataset
ds = load_dataset("juliensimon/nasa-exoplanets", split="train")
df = ds.to_pandas()
# Earth-like candidates: rocky, in habitable zone
habitable = df[
(df["pl_rade"] < 1.6) &
(df["pl_eqt"] > 200) & (df["pl_eqt"] < 310)
]
print(f"{len(habitable)} potentially habitable planets")
# Transit vs radial velocity discoveries over time
transit = df[df["discoverymethod"] == "Transit"]
rv = df[df["discoverymethod"] == "Radial Velocity"]
# Planets by discovery facility
top_facilities = df["disc_facility"].value_counts().head(10)Data source
https://exoplanetarchive.ipac.caltech.edu/
Related datasets
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About the author
Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.
Citation
@dataset{nasa_exoplanets,
title = {NASA Exoplanet Archive},
author = {Simon, Julien},
year = {2026},
url = {https://huggingface.co/datasets/juliensimon/nasa-exoplanets},
note = {Derived from NASA Exoplanet Archive, IPAC/Caltech, https://exoplanetarchive.ipac.caltech.edu/},
publisher = {Hugging Face}
}