python-rapidjson vs orjson
Side-by-side — pricing, strengths, tradeoffs, and fit.
python-rapidjson
A Python wrapper around RapidJSON for efficient JSON processing.
orjson
Fast, correct JSON library for Python.
At a glance
Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
● Established·From $0
Overview
One-liner
One-liner
A Python wrapper around RapidJSON for efficient JSON processing.
One-liner
Fast, correct JSON library for Python.
Maturity
Maturity
EstablishedMaturity
EstablishedOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Developers working on projects where JSON performance is critical
Applications requiring low-latency JSON processing and generation
✓ Best for
Developers working on high-performance Python applications that require frequent JSON operations
Projects needing to optimize the speed of JSON parsing and generation in their critical paths
Not ideal for
✕ Not for
Projects that do not require high-performance JSON handling
Scenarios where the overhead of a C++ wrapper might be undesirable
✕ Not for
Applications where simplicity is prioritized over performance
Scenarios where the overhead of integrating a new library outweighs potential performance gains
Strengths
↑ Strengths
High-performance JSON parsing and generation
Compatibility with RapidJSON's features
Efficient memory usage
↑ Strengths
High performance JSON parsing and generation
Written in Rust for speed
Supports Python's datetime objects directly
Weaknesses
↓ Weaknesses
Limited documentation and examples
Lack of full Pythonic API design
No official support or maintenance guarantees
Potential issues with complex JSON structures
↓ Weaknesses
Limited language support
Complex setup for non-standard configurations
Small community support