Skip to main content

Turso Database for Python

PyPI

Chat with other users of Turso on Discord


About

Turso Database runs in production today at multiple organizations. It has not yet reached 1.0, so as with any database we recommend keeping backups — see the FAQ for where the project stands.

Features

  • SQLite compatible: SQLite query language and file format support (status).
  • In-process: No network overhead, runs directly in your Python process
  • Cross-platform: Supports Linux, macOS, Windows
  • Remote partial sync: Bootstrap from a remote database, pull remote changes, and push local changes when online — all while enjoying a fully operational database offline.
  • Asyncio support: Built-in integration with asyncio to ensure queries won’t block your event loop

Installation

uv pip install pyturso

Database driver

A minimal DB‑API 2.0 example using an in‑memory database:

import turso

# Standard DB-API usage
conn = turso.connect(":memory:")
cur = conn.cursor()

cur.execute("CREATE TABLE users (id INTEGER PRIMARY KEY, username TEXT)")
cur.execute("INSERT INTO users VALUES (1, 'alice'), (2, 'bob')")

cur.execute("SELECT * FROM users ORDER BY id")
rows = cur.fetchall()
print(rows)  # [(1, 'alice'), (2, 'bob')]

conn.close()

Database driver (asyncio)

Non-blocking access with asyncio:

import asyncio
import turso.aio

async def main():
    # Connect and use as an async context manager
    async with turso.aio.connect(":memory:") as conn:
        # Executes multiple statements
        await conn.executescript("""
            CREATE TABLE t (id INTEGER PRIMARY KEY, name TEXT);
            INSERT INTO t(name) VALUES ('alice'), ('bob');
        """)

        # Use a cursor for parameterized queries
        cur = conn.cursor()
        await cur.execute("SELECT COUNT(*) FROM t WHERE name LIKE ?", ("a%",))
        count = (await cur.fetchone())[0]
        print(count)  # 1

        # JSON and generate_series also available
        cur = conn.cursor()
        await cur.execute("SELECT SUM(value) FROM generate_series(1, 10)")
        print((await cur.fetchone())[0])  # 55

asyncio.run(main())

Synchronization driver

Use a remote Turso database while working locally. You can bootstrap local state from the remote, pull remote changes, and push local commits.

Note: You need a Turso remote URL. See the Turso docs for provisioning and authentication.

import turso.sync

# Connect a local database to a remote Turso database
conn = turso.sync.connect(
    ":memory:",                          # local db path (or a file path)
    remote_url="https://<db>.<region>.turso.io"  # your remote URL
)

# Read data (fetched from remote if not present locally yet)
rows = conn.execute("SELECT * FROM t").fetchall()
print(rows)

# Pull new changes from remote into local
changed = conn.pull()
print("Pulled:", changed)  # True if there were new remote changes

# Make local changes
conn.execute("INSERT INTO t VALUES ('push works')")
conn.commit()

# Push local commits to remote
conn.push()

# Optional: inspect and manage sync state
stats = conn.stats()
print("Network received (bytes):", stats.network_received_bytes)
conn.checkpoint()  # compact local WAL after many writes

conn.close()

Partial bootstrap to reduce initial network cost:

import turso.sync

conn = turso.sync.connect(
    "local.db",
    remote_url="https://<db>.<region>.turso.io",
    # fetch first 128 KiB upfront
    partial_sync_experimental=turso.sync.PartialSyncOpts(
      bootstrap_strategy=turso.sync.PartialSyncPrefixBootstrap(length=128 * 1024),
    ),
)

Synchronization driver (asyncio)

The same sync primitives, but fully async:

import asyncio

async def main():
    conn = await turso.aio.sync.connect(":memory:", remote_url="https://<db>.<region>.turso.io")

    # Read data
    rows = await (await conn.execute("SELECT * FROM t")).fetchall()
    print(rows)

    # Pull and push
    await conn.pull()
    await conn.execute("INSERT INTO t VALUES ('hello from asyncio')")
    await conn.commit()
    await conn.push()

    # Stats and maintenance
    stats = await conn.stats()
    print("Main WAL size:", stats.main_wal_size)
    await conn.checkpoint()

    await conn.close()

asyncio.run(main())

License

This project is licensed under the MIT license.

Support

Release files for pyturso 0.8.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyturso 0.8.0
File Size Uploaded
pyturso-0.8.0.tar.gz 3.3 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for pyturso 0.8.0
File
pyturso-0.8.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
pyturso-0.8.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
pyturso-0.8.0-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
pyturso-0.8.0-cp310-abi3-macosx_10_12_x86_64.whl CPython 3.10 abi3 macOS 10.12+ x86-64 Details

Total release size: 76.7 MB

Release files / pyturso-0.8.0.tar.gz

Download URL pyturso-0.8.0.tar.gz
Size 3.3 MB
Tags Source
SHA-256 checksum
How to use checksums
f8a39807a3b3520b8e40258fe65d9a73f3aaca3bc2b4c1c87d9b141a0473abde
BLAKE2b-256 checksum
How to use checksums
087401e6ad07545d2d3de1ff62c073dfd8ef09a2f62a6c92db7b2f1075ff8994
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.15.0

Release files / pyturso-0.8.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL pyturso-0.8.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 28.1 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
726d2aa94c25cbd1393a28cfcab775f0a3c86625e1cfc4b7f6c45cb50c3d24e9
BLAKE2b-256 checksum
How to use checksums
941475f8c587081c9a953718b70d96f771ed0ad0cc2d1e95ee92408371809b22
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.15.0

Release files / pyturso-0.8.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL pyturso-0.8.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 27.6 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
8123a65011a1f8feda7d2f65bfe88752c6cfca123860a0237ccfced191df1b30
BLAKE2b-256 checksum
How to use checksums
ce2904a25ebf67f5b1fa2c2edf72ba4215b913fca013275d5bfe66c487aba411
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.15.0

Release files / pyturso-0.8.0-cp310-abi3-macosx_11_0_arm64.whl

Download URL pyturso-0.8.0-cp310-abi3-macosx_11_0_arm64.whl
Size 8.2 MB
Tags CPython 3.10 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
62bf87c6966f6b1d9c8b71ae060779758cbc55ee649567cef4399a15c7a4c65b
BLAKE2b-256 checksum
How to use checksums
194a0ccab2668da503a16110f40a62082f95352de420a4955a7b91ceed504fef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.15.0

Release files / pyturso-0.8.0-cp310-abi3-macosx_10_12_x86_64.whl

Download URL pyturso-0.8.0-cp310-abi3-macosx_10_12_x86_64.whl
Size 9.4 MB
Tags CPython 3.10 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
3fa0d18b122c0b39b60844a56810e19b39ca94b89a62e9c1ffde6b39d0148e0a
BLAKE2b-256 checksum
How to use checksums
7028dee91414f5573cdb85ccbdd6df6d94a41b115becefd3ef7e0593e5e3f479
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via maturin/1.15.0

Release history Release notifications | RSS feed

0.8.3

5 release files

0.8.2

5 release files

0.8.1

5 release files

This release

0.8.0 This release

5 release files

0.7.2

5 release files

0.7.1

5 release files

0.7.0

5 release files

0.6.1

25 release files

0.6.0

25 release files

0.5.1

13 release files

0.4.4

13 release files

0.4.3

13 release files

0.3.0

11 release files

0.1.5

12 release files

0.1.4

16 release files

0.1.3

16 release files

0.1.2

16 release files

0.1.1

16 release files

0.1.0

16 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page