Jedis vs redis-py
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A Java client library for talking to Redis servers from Java code.
Open source · MIT
The official Python client library for talking to Redis from Python code.
The short answer
Choose Jedis if you need…
- Java developers who need to read and write data in Redis from an application
- Teams building Java services that use Redis Cluster
- Projects that need Redis JSON or vector set support through a Java client
- Developers who want a client with Maven Central distribution and Javadocs
Choose redis-py if you need…
- Python developers who need to read and write data in a Redis server
- Backend teams building caching or session storage on Redis
- Projects that want the official Redis-maintained Python client
- Developers using Redis Cluster or async Python code
Side-by-side
| Jedis | redis-py | |
|---|---|---|
| Type | Library | Library |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 12.4k | 13.7k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | Java | Python |
| Last code update | 4 days ago | 4 days ago |
What each one is
Jedis
Jedis is a Java library that lets Java programs send commands to a Redis server, a fast data store often used for caching and quick lookups. You add it as a dependency in your Java project and call methods that map to Redis commands. The README describes it as designed for performance and ease of use.
redis-py
redis-py is a Python library that lets Python programs connect to a Redis server and run its commands, such as storing and reading key-value data. Redis is a fast in-memory data store, and this library is the official way to use it from Python. It also supports pipelines to batch commands, Pub/Sub for messages on channels, and cluster and async connections.
Best for
Jedis
- Java developers who need to read and write data in Redis from an application
- Teams building Java services that use Redis Cluster
- Projects that need Redis JSON or vector set support through a Java client
- Developers who want a client with Maven Central distribution and Javadocs
redis-py
- Python developers who need to read and write data in a Redis server
- Backend teams building caching or session storage on Redis
- Projects that want the official Redis-maintained Python client
- Developers using Redis Cluster or async Python code
Strengths
Jedis
- Covers all Redis data types according to the README, including JSON and VectorSets
- Documented compatibility table listing supported Redis and JDK versions
- MIT licensed, with Javadocs and a documentation site
redis-py
- Official client maintained under the redis organization on GitHub
- Covers the standard Redis commands with a documented API and a docs site
- Has an optional hiredis extra for faster response parsing
Not ideal for
Jedis
- People who want a high-level object mapping layer; the README points to redis-om-spring for that
- Non-Java projects, since this is a Java library (JDK 8 or newer per the compatibility table)
- Anyone who needs a Redis server itself; Jedis is only the client
redis-py
- People who need a full object-mapping layer; the README points to redis-om-python for that
- Non-programmers, since it is a code library rather than an app
- Projects running very old Python versions, because recent releases drop support for older Python versions
Trade-offs
Jedis
- Compatibility depends on version: the table shows different Redis and JDK support ranges for each Jedis release line
- Some advanced features (failover, token auth) need extra reading in separate docs pages
- The README snippet is truncated, so full API details are not visible here
redis-py
- Responses come back as bytes by default, so you must set decode_responses=True for strings
- Version support depends on the Redis server version; the README shows a compatibility table to check
Getting started
Jedis
Run a local Redis server with Docker
docker run -p 6379:6379 -it redis:latestMaven dependency (add to pom.xml)
<dependency><groupId>redis.clients</groupId><artifactId>jedis</artifactId><version>8.0.1</version></dependency>redis-py
Install redis-py
pip install redisInstall with faster hiredis parser
pip install "redis[hiredis]"Frequently asked questions
What is the difference between Jedis and redis-py?
Jedis: A Java client library for talking to Redis servers from Java code. redis-py: The official Python client library for talking to Redis from Python code. Jedis suits java developers who need to read and write data in redis from an application, while redis-py suits python developers who need to read and write data in a redis server.
Are Jedis and redis-py free?
Jedis: Free and open source. redis-py: Free and open source.
Which is easier to set up, Jedis or redis-py?
redis-py is easier to get started with (rated beginner); Jedis is rated intermediate and usually needs more setup.
Is Jedis or redis-py more popular?
redis-py has more GitHub stars (13.7k) than Jedis (12.4k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to Jedis and redis-py?
Other options people compare them with include ioredis, node-redis.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.