falkordb-py

FalkorDB Python client

Installation

pip install FalkorDB

Usage

Run FalkorDB instance

Docker:

docker run --rm -p 6379:6379 falkordb/falkordb

Or use FalkorDB Cloud

Synchronous Example

from falkordb import FalkorDB

# Connect to FalkorDB
db = FalkorDB(host="localhost", port=6379)

# Select the social graph
g = db.select_graph("social")

# Create 100 nodes and return a handful
nodes = g.query(
    "UNWIND range(0, 100) AS i CREATE (n {v:1}) RETURN n LIMIT 10"
).result_set
for n in nodes:
    print(n)

# Read-only query the graph for the first 10 nodes
nodes = g.ro_query("MATCH (n) RETURN n LIMIT 10").result_set

# Copy the Graph
copy_graph = g.copy("social_copy")

# Delete the Graph
g.delete()

Asynchronous Example

import asyncio
from falkordb.asyncio import FalkorDB
from redis.asyncio import BlockingConnectionPool


async def main():

    # Connect to FalkorDB
    pool = BlockingConnectionPool(
        max_connections=16, timeout=None, decode_responses=True
    )
    db = FalkorDB(connection_pool=pool)

    # Select the social graph
    g = db.select_graph("social")

    # Execute query asynchronously
    result = await g.query(
        "UNWIND range(0, 100) AS i CREATE (n {v:1}) RETURN n LIMIT 10"
    )

    # Process results
    for n in result.result_set:
        print(n)

    # Run multiple queries concurrently
    tasks = [
        g.query("MATCH (n) WHERE n.v = 1 RETURN count(n) AS count"),
        g.query('CREATE (p:Person {name: "Alice"}) RETURN p'),
        g.query('CREATE (p:Person {name: "Bob"}) RETURN p'),
    ]

    results = await asyncio.gather(*tasks)

    # Process concurrent results
    print(f"Node count: {results[0].result_set[0][0]}")
    print(f"Created Alice: {results[1].result_set[0][0]}")
    print(f"Created Bob: {results[2].result_set[0][0]}")

    # Close the connection when done
    await pool.aclose()


# Run the async example
if __name__ == "__main__":
    asyncio.run(main())

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

falkordb-1.7.1.tar.gz (121.4 kB view details)

Uploaded Aug 13, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

falkordb-1.7.1-py3-none-any.whl (38.3 kB view details)

Uploaded Aug 13, 2026 Python 3

File details

Details for the file falkordb-1.7.1.tar.gz.

File metadata

Download URL: falkordb-1.7.1.tar.gz
Upload date: Aug 13, 2026
Size: 121.4 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for falkordb-1.7.1.tar.gz
Algorithm	Hash digest
SHA256	`09dd89dfb668c6fe7741c0ec67fcdb5c7a4b009e87f065a644199170f4fa5766`
MD5	`7a4e4485c34bca59d13f159ba55e8141`
BLAKE2b-256	`98d3799a947869d9b8dd4cfcc6dc9654869874b1130375a78033b5a92362dc67`

See more details on using hashes here.

File details

Details for the file falkordb-1.7.1-py3-none-any.whl.

File metadata

Download URL: falkordb-1.7.1-py3-none-any.whl
Upload date: Aug 13, 2026
Size: 38.3 kB
Tags: Python 3
Uploaded using Trusted Publishing? Yes
Uploaded via: uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for falkordb-1.7.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`0e62d535edd5abf7b6d35e2493fba71118734313436ff803fcd5d1b20e9e2194`
MD5	`0f6744dab81a5f72d32972ff6f779d9e`
BLAKE2b-256	`bf4341967fad8b625e2b319e03a1c8897535dd1e05723a051342422b48b870da`