High-Performance Lightweight Python ORM designed for

Documentation Python Version

Python ORM for RayforceDB, a high-performance columnar database designed for analytics and data operations. Core is written in pure C with minimal overhead - combines columnar storage with SIMD vectorization for lightning-fast analytics on time-series and big data workloads.

Full Documentation: https://py.rayforcedb.com/

Features

Pythonic API - Chainable, convenient, intuitive and fluent query syntax
High Performance - One of the fastest solutions available, minimal overhead between Python and RayforceDB runtime via C API
Lightweight - Core is less than 1 MB footprint
0 dependencies - Library operates without dependencies - pure Python and C
Rapid Development - Continuously expanding functionality

RayforcePy Benchmarks

Benchmarks run on: macOS M4 32GB, 100 groups, 20 runs (median), 5 warmup runs. H2OAI

Quick Start

>>> from datetime import time
>>> from rayforce import Table, Column, Vector, Symbol, Time, F64

>>> quotes = Table({
        "symbol": Vector(items=["AAPL", "AAPL", "AAPL", "GOOG", "GOOG", "GOOG"], ray_type=Symbol),
        "time": Vector(
            items=[
                time.fromisoformat("09:00:00.095"),
                time.fromisoformat("09:00:00.105"),
                time.fromisoformat("09:00:00.295"),
                time.fromisoformat("09:00:00.145"),
                time.fromisoformat("09:00:00.155"),
                time.fromisoformat("09:00:00.345"),
            ],
            ray_type=Time,
        ),
        "bid": Vector(items=[100.0, 101.0, 102.0, 200.0, 201.0, 202.0], ray_type=F64),
        "ask": Vector(items=[110.0, 111.0, 112.0, 210.0, 211.0, 212.0], ray_type=F64),
    })

>>> result = (
        quotes
        .select(
            max_bid=Column("bid").max(),
            min_bid=Column("bid").min(),
            avg_ask=Column("ask").mean(),
            records_count=Column("time").count(),
            first_time=Column("time").first(),
        )
        .where((Column("bid") >= 110) & (Column("ask") > 100))
        .by("symbol")
        .execute()
    )
>>> print(result)
┌────────┬─────────┬─────────┬─────────┬───────────────┬──────────────┐
│ symbol │ max_bid │ min_bid │ avg_ask │ records_count │ first_time   │
├────────┼─────────┼─────────┼─────────┼───────────────┼──────────────┤
│ GOOG   │ 202.00  │ 200.00  │ 211.00  │ 3             │ 09:00:00.145 │
├────────┴─────────┴─────────┴─────────┴───────────────┴──────────────┤
│ 1 rows (1 shown) 6 columns (6 shown)                                │
└─────────────────────────────────────────────────────────────────────┘

Installation

Package is available on PyPI:

pip install rayforce-py

This installation also provides a command-line interface to access the native Rayforce runtime:

~ $ rayforce
Launching Rayforce...
  RayforceDB: 0.1 Dec  6 2025
  Documentation: https://rayforcedb.com/
  Github: https://github.com/RayforceDB/rayforce
↪ (+ 1 2)
3

Built with ❤️ for high-performance data processing | MIT Licensed | RayforceDB Team

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2.2.0

Jul 2, 2026

2.1.1

Jun 24, 2026

2.1.0

Jun 22, 2026

2.0.2

Jun 18, 2026

2.0.1

Jun 17, 2026

2.0.0

Jun 12, 2026

2.0.0b1 pre-release

Jun 8, 2026

2.0.0a1 pre-release

Apr 28, 2026

1.0.0

Apr 20, 2026

0.6.3

Apr 15, 2026

0.6.2

Mar 15, 2026

0.6.1

Mar 3, 2026

0.6.0

Feb 21, 2026

0.5.11

Feb 19, 2026

0.5.10

Feb 11, 2026

0.5.9

Feb 11, 2026

0.5.8

Feb 10, 2026

0.5.7

Feb 10, 2026

0.5.6

Jan 29, 2026

0.5.5

Jan 28, 2026

0.5.4

Jan 17, 2026

0.5.3

Jan 17, 2026

0.5.2

Jan 16, 2026

0.5.1

Jan 15, 2026

0.5.0

Jan 15, 2026

0.4.3

Jan 14, 2026

0.4.2

Jan 14, 2026

0.4.0

Jan 8, 2026

0.3.1

Jan 4, 2026

0.3.0

Jan 3, 2026

0.2.2

Jan 2, 2026

0.2.1

Dec 29, 2025

0.2.0

Dec 28, 2025

0.1.5

Dec 24, 2025

0.1.4

Dec 24, 2025

0.1.3

Dec 23, 2025

0.1.2

Dec 23, 2025

0.1.1

Dec 23, 2025

0.1.0

Dec 23, 2025

0.0.17

Dec 19, 2025

0.0.15

Dec 18, 2025

0.0.14

Dec 17, 2025

0.0.13

Dec 16, 2025

0.0.12

Dec 10, 2025

0.0.11

Dec 9, 2025

0.0.10

Dec 8, 2025

0.0.9

Dec 7, 2025

0.0.8

Dec 7, 2025

0.0.7

Dec 7, 2025

0.0.6

Dec 6, 2025

0.0.5

Dec 2, 2025

0.0.3

Dec 1, 2025

0.0.2

Nov 28, 2025

rayforce-py 2.2.0

High-Performance Lightweight Python ORM designed for

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