Celery vs Hatchet: Which is Better in 2026?
Choosing between Celery and Hatchet? Both are popular background jobs & workflows tools. Below we compare them on pricing, free tiers, features, and pros & cons so you can pick the right fit for your stack.
Celery is for: Python and Django teams who want a free task queue they run themselves on RabbitMQ or Redis.
Hatchet is for: Teams orchestrating background tasks and AI agent workflows who want an open-source engine that runs on Postgres.
Quick verdict
There’s no single winner; pick on your constraint. Choose Celery if your app is written in Python, especially Django or Flask. Choose Hatchet if you want an open-source task engine you can self-host on the Postgres you already run.
Celery vs Hatchet — Side by Side
| Celery | Hatchet | |
|---|---|---|
| Category | Background Jobs & Workflows | Background Jobs & Workflows |
| What it is | Open-source distributed task queue | Task orchestration engine |
| Languages | Python | Python, TypeScript, Go, Ruby |
| What it runs on | Your RabbitMQ, Redis or Amazon SQS broker | Hatchet Cloud or self-hosted on Postgres |
| How you pay | Free (BSD); you pay for your infrastructure | Per task run and event; no plan fee |
| Free access | Full open-source project | 1M task runs a month with a card on file |
| Pricing | Free | Free |
| Starting price | Free tier available | Free tier available |
| Free tier | ||
| Rating | 4.3 | 4.4 |
| Best for | Background Jobs & Workflows — Python, Django, self-hosted | Background Jobs & Workflows — Postgres-backed, AI task orchestration, open source |
Pros & Cons
- Free and open-source
- Mature and in production use for many years
- Deep Django/Flask integration
- Flexible broker support
- Python only
- You run the broker and workers
- Configuration can be complex
- Simple Postgres-based architecture
- Easy to self-host
- Built for AI task orchestration
- Fine-grained concurrency control
- Younger project, smaller community
- Fewer integrations than incumbents
Key Features Compared
Celery
- Open source under the BSD-3-Clause license; current stable version 5.6
- RabbitMQ and Redis brokers are feature complete; Amazon SQS is also supported
- Result backends include Redis, SQLAlchemy, Django ORM and Memcached
- Periodic tasks with celery beat, including crontab expressions
- Canvas primitives for groups, chains and chunks of tasks
- Supports Python 3.8 to 3.13 and PyPy3.9+
Hatchet
- Open source under the MIT license; self-hosting needs only PostgreSQL for basic use
- Hatchet Cloud is pay-as-you-go with no plan fee
- With a card on file: 1M task runs and 1M events a month included, then $30 per 1M task runs and $5 per 1M events
- Card-on-file plan includes 100 workers, 50 users and 7-day retention
- Without a card, lower limits apply and tasks are dropped once a free limit is reached
- SDKs for Python, TypeScript, Go and Ruby
Choose Celery if…
- Your app is written in Python, especially Django or Flask.
- You want a free queue and already run RabbitMQ or Redis.
- You need periodic tasks and task chains without a hosted service.
Choose Hatchet if…
- You want an open-source task engine you can self-host on the Postgres you already run.
- You need concurrency and rate limits per tenant or per key.
- You want managed hosting with no monthly plan fee.
Frequently Asked Questions
Is Celery better than Hatchet?⌄
There’s no single winner; pick on your constraint. Choose Celery if your app is written in Python, especially Django or Flask. Choose Hatchet if you want an open-source task engine you can self-host on the Postgres you already run.
What is the difference between Celery and Hatchet?⌄
What it is — Celery: Open-source distributed task queue. Hatchet: Task orchestration engine. Languages — Celery: Python. Hatchet: Python, TypeScript, Go, Ruby. What it runs on — Celery: Your RabbitMQ, Redis or Amazon SQS broker. Hatchet: Hatchet Cloud or self-hosted on Postgres. How you pay — Celery: Free (BSD); you pay for your infrastructure. Hatchet: Per task run and event; no plan fee. Free access — Celery: Full open-source project. Hatchet: 1M task runs a month with a card on file.
Celery vs Hatchet: which is cheaper?⌄
Celery pricing: Free. Hatchet pricing: Free. Confirm current pricing on each tool's official site, as plans change.
Which is rated higher, Celery or Hatchet?⌄
In our catalog, Celery rates 4.3 out of 5 and Hatchet rates 4.4 out of 5, so Hatchet has a slight edge on reviews.
When should I skip both Celery and Hatchet?⌄
Skip Celery if you don’t want to run a broker and workers. Inngest and Hatchet offer managed Python SDKs. Skip Hatchet if you want a library rather than a separate engine. Graphile Worker and River run inside your app on Postgres.
Sources · tool facts checked November 2026
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