launchtape

Python access to Launch Tape: daily files of Solana launch data, one gzipped JSON-lines file per dataset per UTC day.

A free 2-hour sample of every dataset is on the site; launchtape downloads it, checks its SHA-256 and reads it.

Install

pip install launchtape              # needs only requests
pip install "launchtape[pandas]"    # adds pandas for launchtape.frame()

Python 3.9 or newer.

Quickstart

Crash rate of pump.fun graduates, split by "instant" launches (graduated within 5 s of creation):

import launchtape as lt

path = lt.sample("pregrad")                                    # free sample, SHA-256 checked, cached
rec = lt.frame(path, types="record")[["mint", "sym", "instant", "ageS"]]
out = lt.frame(path, types="outcome")[["mint", "crashed", "maxGain"]]
df = rec.merge(out, on="mint")                                 # one row per graduate seen in both
print(df.groupby("instant")["crashed"].agg(["mean", "count"]))
print(lt.schema("pregrad"))                                    # every row type and field

The sample is two hours, so the counts are small: it shows the shape of the data, not a result.

API

for row in lt.load("gradtrades", types="grad", limit=5):      # streams, so a 5-million-row day is fine
    print(row["mint"], row["capSol"])

path = lt.fetch("https://launchtape.io/dl/<token>", "pregrad", "2026-10-11", dest="data/")

Times: t is milliseconds since 1970 UTC (pd.to_datetime(df["t"], unit="ms", utc=True)). Coverage gaps are rows in the files (down, up, resume, end), never filled in: see each schema.

A full gradtrades day is about 5 million rows; for a DataFrame, pass types= and/or limit=, or stream with load(). A download that does not match its SHA-256 raises launchtape.ChecksumError and is not kept. Environment: LAUNCHTAPE_CACHE changes the cache folder.

Command line

launchtape datasets
launchtape sample gradtrades                  # prints the cached path
launchtape head gradtrades -n 5               # first rows of the sample, as JSON lines
launchtape head pregrad -t record -n 2        # only rows of one type
launchtape schema pregrad
launchtape fetch https://launchtape.io/dl/<token> pregrad 2026-10-11 -o data/

python -m launchtape ... works too.

Full days: prices and how to buy

Day file (one dataset, one UTC day): 0.05 SOL or 6 USDC. Month of history (one dataset, 30 days): 0.5 SOL or 60 USDC. Daily feed (every dataset, each new day as it closes): 1 SOL or 120 USDC a month. Send SOL or USDC on Solana to 5vf1PzK8LrF9D5bemYJYPsFYp4nHULSTA1biBampgU58 with a memo giving your email address or Telegram handle and the datasets and days you want; within 24 hours you get a private download link (https://launchtape.io/dl/<token>, valid 7 days) that launchtape fetch reads. Or buy through launchtape.io, which has a Solana Pay QR code and a contact form.

Licences

• This package (the code): MIT, see LICENSE.
• The data it downloads, the free samples included, has its own licence: personal and research use inside your own team. No resale, republishing or redistribution of the files, in whole or in part. Results you derive from it (charts, papers, models, strategies) are yours. Full text: launchtape.io.

The data is market data recorded from public sources, provided as is. It is not financial advice.