How it compares

The Python ecosystem has several good, focused pagination and filtering libraries. This page is an honest map of where paginate sits relative to them — not a takedown. If you only need one of these capabilities in one language, a focused tool may be the simpler choice; paginate's value is unifying them and making them identical across languages.

What's distinctive about paginate

1. One unified API for pagination + filtering + sorting + search. Most tools do one of these; paginate does all four through the same specs and the same engine.
2. Cross-language parity. The Python and TypeScript packages share a Rust core, so they return identical results and byte-identical cursors — a Python service and a TypeScript client can share one keyset scheme. No other library in this space spans languages. See parity and the polyglot recipe.
3. Typed specs from one schema. Filter/sort/search/param shapes are generated from a single JSON Schema, so Python and TypeScript can't drift.
4. Both offset and keyset (cursor), with the cursor a portable, typed wire format.

Feature comparison

A high-level map (capabilities evolve — check each project for current details):

	paginate	fastapi-pagination	fastapi-filter	sqlalchemy-pagination
Offset pagination	✅	✅	—	✅
Keyset / cursor pagination	✅	✅	—	—
Filtering (operators + groups)	✅ (20 ops, And/Or)	—	✅	—
Sorting (multi-key, nulls)	✅	—	✅ (ordering)	—
Ranked / fuzzy search	✅ (trigram)	—	—	—
In-memory and DB	✅	DB-focused	DB-focused	DB-focused
Framework adapters	FastAPI, SQLAlchemy, Django	FastAPI (many backends)	FastAPI + SQLAlchemy/Mongo	SQLAlchemy
TypeScript / Node	✅ (@cyblow/paginate)	—	—	—
Cross-language parity	✅	—	—	—
Native (Rust) engine	✅	—	—	—

When a focused tool is the better fit

• You're Python-only, want just request-param pagination for FastAPI with broad backend support, and don't need filtering/search in the same package → fastapi-pagination is excellent at exactly that.
• You want just declarative filtering/ordering from query params for FastAPI → fastapi-filter is purpose-built.
• You want a minimal offset helper for SQLAlchemy → sqlalchemy-pagination or a plain LIMIT/OFFSET is hard to beat for simplicity.

When paginate is the better fit

• You run a polyglot stack and need a Python service and a TypeScript client/service to agree on filters, sort order, and cursors.
• You want one consistent vocabulary for pagination, filtering, sorting, and search across endpoints (and across in-memory and database data).
• You want the spec shapes typed and generated, so they can't drift between services or languages.

:::note On raw speed paginate's value is consistency, not a blanket speed claim — for a single in-memory filter/sort over data your host already holds, your language's own array operations are often faster. The native win is the cursor codec and the resident Dataset pipeline. See performance for the measured trade-offs. :::