Skip to main content

Park is a persistent key-value API for Python with ordered traversal of keys. Both keys and values are binary safe. It’s similar in use to LevelDB, but has no dependencies outside the Python standard library.

It is meant to be extremely easy to use and can scale to a few gigabytes of data. It allows you to be lazy until it doesn’t meet your needs. Use it until then.

It supports simple getting and setting of byte data:

>>> kv = park.SQLiteStore("numbers.park")
>>> kv.put("1", "one")
>>> kv.put("2", "two")
>>> kv.put("3", "three")
>>> kv.put("4", "four")

>>> kv.get("2")
'two'

Batched setting of data from an iterable:

>>> kv.put_many([("1", "one"), ("2", "two"), ("3", "three")])

>>> kv.get("3")
'three'

Lexically ordered traversal of keys and items, with start and end sentinels (inclusive):

>>> kv.put("1", "one")
>>> kv.put("2", "two")
>>> kv.put("3", "three")
>>> kv.put("11", "eleven")
>>> kv.put("12", "twelve")

>>> list(kv.keys())
['1', '11', '12', '2', '3']

>>> list(kv.keys(key_from="12"))
['12', '2', '3']

>>> list(kv.keys(key_from="12", key_to="2"))
['12', '2']

>>> list(kv.items(key_from="12"))
[('12', 'twelve'), ('2', 'two'), ('3', 'three')]

Iteration over all keys or items with a given prefix:

>>> kv.put("pet/dog", "Canis lupus familiaris")
>>> kv.put("pet/cat", "Felis catus")
>>> kv.put("pet/wolf", "Canis lupus")

>>> list(kv.prefix_keys("pet/"))
['pet/cat', 'pet/dog', 'pet/wolf']

>>> list(kv.prefix_keys("pet/", strip_prefix=True))
['cat', 'dog', 'wolf']

>>> list(kv.prefix_items("pet/", strip_prefix=True))
[('cat', 'Felis catus'),
 ('dog', 'Canis lupus familiaris'),
 ('wolf', 'Canis lupus')]

It plays well with generators, so you can e.g. park all the counting numbers (this will take a while):

def numbers():
    for num in itertools.count(1):
        key = value = str(num)
        yield key, value

kv.put_many(numbers())

Or recursively park a directory’s contents (keyed by relative paths) from the local filesystem:

def file_item(filename):
    with open(filename, "r") as fd:
        return filename, fd.read()

kv.put_many(file_item(os.path.join(root, name))
            for root, dirs, files in os.walk(directory)
            for name in files)

Metadata

Release files for park 1.0.0

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

Source distribution (sdist)

Source distribution for park 1.0.0
File Size Uploaded Provenance Actions
park-1.0.0.tar.gz 7.2 kB Without provenance Details for park-1.0.0.tar.gz

Release files / park-1.0.0.tar.gz

Download URL park-1.0.0.tar.gz
Size 7.2 kB
Tags Source
SHA-256 checksum
How to use checksums
49a44d3647d05fee2f245804f36d04afd74de8038c7d3765e9e00cc832b6a6e5
BLAKE2b-256 checksum
How to use checksums
8b8d41c6649a652813b859daa50ca192f5b37a23ac9729f2107facd378cba725
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for park 1.0.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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