Ojuri
7.5#2 in financial fraud detection softwareFree planFree planWebAPILinuxSelf-hosted
VisitOjuri vs Tazama
What both publish
| Fact | Ojuri | Tazama |
|---|---|---|
| Deployment | The quickstart uses Docker Compose and requires Docker and Node 20; the investigation model is optional and downloads about 7.6 GB of weights when enabled. | A Docker Compose stack runs the platform on one machine for evaluation, and production deployment guides cover Kubernetes on premises, EKS, GKE and AKS. |
| Integrations | The stack uses Kafka, Redis, PostgreSQL, ONNX Runtime, Docker Compose, NGINX, and Prometheus/Grafana components. | The platform connects to REST APIs, message queues, external case systems and real-time alert routes. |
| License | The repository is released under the MIT license. | Tazama repositories identify the Apache License 2.0. |
| Purpose | Ojuri is a self-hosted fraud detection engine that scores transactions and returns accept, review, or decline decisions. | Tazama is an open-source, real-time transaction-monitoring platform for detecting fraud and associated money-laundering typologies. |
| Security controls | The documentation describes API keys, dashboard accounts and roles, signed webhooks, and idempotency keys for safe retries. | Official product material cites Keycloak authentication, tenant controls, logging, role-based workflows and auditability. |
| Self-hosting | Ojuri runs on the operator’s servers with Docker Compose and does not require a SaaS account. | The project provides Docker Compose stacks for local or multi-server deployment and Kubernetes-oriented cloud infrastructure. |
Ojuri plans
- FreeFree
- OjuriFree
Tazama plans
- Tazama open-source softwareFree
Pick Ojuri if…
Ojuri suits fintechs and payment platforms that need transaction scoring within their own infrastructure. It may also suit teams that want analyst review, model monitoring, and investigation tools alongside live scoring.
Pick Tazama if…
Tazama is aimed at central banks, payment services advisors, banks, government agencies, and financial institutions that need transaction monitoring and case investigation tools. It requires resources for hosting, implementation, and support despite having no software or license charge.