Skip to main content

A zero-dependency JSON validation library using TypedDict and Annotated (optional orjson acceleration)

Project description

Pytastic

No Magic. Just Python.

Pytastic is a lightweight validation layer that respects your standard Python type hints. If you know TypedDict and Annotated, you already know how to use Pytastic.

View Docs at Pytastic Documentation

Why?

  • Zero Dependencies: Pure Python standard library.
  • No Learning Curve: It's just standard Python typing.
  • IDE Friendly: We use standard types, so your IDE autocompletion works out of the box.
  • Fast: Code generation makes Pytastic faster than Pydantic for common use cases.

Performance

Benchmark results (100,000 validation iterations):

Library Time (s) Ops/sec Relative
msgspec 0.0651 1,537,194 1.00x
Pytastic 0.1964 509,062 3.02x
Pydantic 0.2346 426,218 3.61x

Pytastic is faster than Pydantic i.e. Pure Python with zero dependencies!

Installation

pip install pytastic

Optional orjson acceleration (also handles date/datetime/UUID natively on dump):

pip install pytastic[fast]

Usage

from pytastic import Pytastic
from typing import TypedDict, Annotated, List, Literal

vx = Pytastic()

# 1. Define Schema
class User(TypedDict):
    username: Annotated[str, "min_len=3; regex=^[a-z_]+$"]
    age: Annotated[int, "min=18"]
    role: Literal["admin", "user"]

2. Usage Patterns

Option A: Typed (Recommended)

No registration required. Best for IDE autocompletion.

try:
    user = vx.validate(User, {"username": "tersoo", "age": 25, "role": "admin"})
    print(user)
except Exception as e:
    print(e)

Option B: Dynamic (Requires Registration)

Registration required. Best for quick scripts or cleaner syntax.

vx.register(User)

# Now you can use the class name directly on the validator instance
user = vx.User({"username": "tersoo", "age": 25, "role": "admin"})

3. JSON Schema

# Export standard JSON Schema
print(vx.schema(User))
# Output:
# {
#   "type": "object",
#   "properties": {
#     "username": { "type": "string", "minLength": 3 ... },
#     ...
#   }
# }

License

MIT

Project details


Download files

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

Source Distribution

pytastic-0.5.0.tar.gz (22.2 kB view details)

Uploaded Source

Built Distribution

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

pytastic-0.5.0-py3-none-any.whl (25.0 kB view details)

Uploaded Python 3

File details

Details for the file pytastic-0.5.0.tar.gz.

File metadata

  • Download URL: pytastic-0.5.0.tar.gz
  • Upload date:
  • Size: 22.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.12.3 Linux/6.17.0-22-generic

File hashes

Hashes for pytastic-0.5.0.tar.gz
Algorithm Hash digest
SHA256 3cae868c6aa5878cc5911e4322049008a030f7179746f2a35bafea589635474d
MD5 d86f0c2111d94d30911f0129bee722e3
BLAKE2b-256 63ce4aeaaaf1955860dec40d73b2efa12a166fc4ab12a08d25116c456b1d7458

See more details on using hashes here.

File details

Details for the file pytastic-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: pytastic-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 25.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.12.3 Linux/6.17.0-22-generic

File hashes

Hashes for pytastic-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d4c3c0a8624e5bf5c8c89a8dc50bcaa367ff7b68dd31d653d82eb8e27f1fe8be
MD5 086e898442c6a51e8036c9db8204f8a6
BLAKE2b-256 5c568793cd585ef5de07e0c39b6f09ada217a1dfcd7e09fa6dc9dab8fd169a39

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page