TaskTiger
TaskTiger: A focused self-hosted choice for Python teams needing configurable Redis queues and retries. Ranked #29 of 36 in Task Queue Software by our editors (6.4/10); pricing: Open source; best for python Redis queues with detailed retries.
At a glance
- Editor score6.4 / 10
- PricingOpen source
- Best forPython Redis queues with detailed retries
- Paid fromFree
- Deployment modelSelf_hosted
- Founded2013 · Austin, Texas, United States
- Facts checked20 Sep 2026

Where it wins
- Multiple fixed, linear, exponential, and custom retry strategies
- Queue locks, filtering, subqueues, batching, and size controls
- Error inspection with tracebacks, retry, deletion, and requeue support
Where it doesn't
- Self-hosted deployment requires operating worker and Redis infrastructure
- Python and Redis focus narrows its ecosystem fit
- No paid tiers or hosted deployment option
Our verdict on TaskTiger
TaskTiger is an open-source Python task queue built around Redis for task storage and coordination. It is intended for developers who operate their own worker and Redis infrastructure and need more than basic enqueue-and-run behavior. Workers can run with forked subprocesses or synchronously, while tasks can be scheduled, made periodic, batched, retried, inspected, and requeued. The deployment model is self-hosted, and the published platform support includes Windows, macOS, and Linux.
Retry and queue control are the standout areas. TaskTiger supports fixed, linear, exponential, and custom retry strategies, giving teams room to match retry behavior to different task types. Unique queues and task locks help coordinate work, while queue filtering, subqueues, and maximum queue sizes provide additional control over how tasks are organized and processed. Error handling is also detailed: the product stores tracebacks and supports error queue inspection, retry, and deletion. Structured JSON logging and integrations with Rollbar, Logstash, Elasticsearch, Kibana, and Supervisor extend its operational workflow.
TaskTiger’s narrower scope is also its clearest boundary. Its Python package, Redis foundation, and self-hosted model suit teams that want direct control over infrastructure and queue behavior, without relying on a paid hosted tier. It is less suitable for organizations seeking a managed service, a broad language ecosystem, or an all-in-one platform that removes worker and datastore operations from the team. Choose TaskTiger when configurable retries, scheduling, locks, batching, and error inspection matter within a Python and Redis environment; consider another option when hosted operations or wider platform coverage are priorities.
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TaskTiger pricing
TaskTiger fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Deployment model | Self_hosted |
| Custom retry policy | Yes |
| Scheduled jobs | Yes |
| Dead-letter queue | Not verified |
| Maximum payload size | Not verified |
| Official SDK languages | Python |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: Redis, Rollbar, Logstash, Elasticsearch, Kibana, Supervisor |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 20 Sep 2026 |
TaskTiger integrations
TaskTiger lists 6 integrations on its own site.
- Redis
- Rollbar
- Logstash
- Elasticsearch
- Kibana
- Supervisor
Alternatives to TaskTiger
- HatchetA code-first queue for durable execution, observable workflows, and AI task orchestration.9.4
- Trigger.devA strong fit for durable TypeScript tasks, queues, retries, and preview environments.9.2
- InngestA flexible task engine for serverless teams that need durable, observable execution.9.0
See all TaskTiger alternatives →
Also Ranked In
TaskTiger is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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