You will find the current development on the Abstract Machines GitHub.
Once migration and rebrand is fully finished, this repo will be archived and up-to-date info provided.
Mainflux is modern, scalable, secure, open-source, and patent-free IoT cloud platform written in Go.
It accepts user and thing (sensor, actuator, application) connections over various network protocols (i.e. HTTP, MQTT, WebSocket, CoAP), thus making a seamless bridge between them. It is used as the IoT middleware for building complex IoT solutions.
For more details, check out the official documentation.
- Multi-protocol connectivity and bridging (HTTP, MQTT, WebSocket and CoAP)
- Device management and provisioning (Zero Touch provisioning)
- Mutual TLS Authentication (mTLS) using X.509 Certificates
- Fine-grained access control (policies, ABAC/RBAC)
- Message persistence (Cassandra, InfluxDB, MongoDB and PostgresSQL)
- Platform logging and instrumentation support (Prometheus and OpenTelemetry)
- Event sourcing
- Container-based deployment using Docker and Kubernetes
- LoRaWAN network integration
- OPC UA integration
- Edge Agent and Export services for remote IoT gateway management and edge computing
- Small memory footprint and fast execution
- Domain-driven design architecture, high-quality code and test coverage
The following are needed to run Mainflux:
Developing Mainflux will also require:
Once the prerequisites are installed, execute the following commands from the project's root:
docker-compose -f docker/docker-compose.yml up
This will bring up the Mainflux docker services and interconnect them. This command can also be executed using the project's included Makefile:
If you want to run services from specific release checkout code from github and make sure that
MF_RELEASE_TAG in .env is being set to match the release version
git checkout tags/<release_number> -b <release_number>
# e.g. `git checkout tags/0.13.0 -b 0.13.0`
.env file contains:
docker-composeshould be used for development and testing deployments. For production we suggest using Kubernetes.
The quickest way to start using Mainflux is via the CLI. The latest version can be downloaded from the official releases page.
It can also be built and used from the project's root directory:
Additional details on using the CLI can be found in the CLI documentation.
If you spot an error or a need for corrections, please let us know - or even better: send us a PR.
Main architect and BDFL of Mainflux project is @drasko.
Additionally, @nmarcetic and @janko-isidorovic assured overall architecture and design, while @manuio and @darkodraskovic helped with crafting initial implementation and continuously worked on the project evolutions.
Maintainers are listed in MAINTAINERS file.
The Mainflux team would like to give special thanks to @mijicd for his monumental work on designing and implementing a highly improved and optimized version of the platform, and @malidukica for his effort on implementing the initial user interface.
There are many companies offering professional support for the Mainflux system.
If you need this kind of support, best is to reach out to @drasko directly, and he will point you out to the best-matching support team.
Thank you for your interest in Mainflux and the desire to contribute!
- Take a look at our open issues. The good-first-issue label is specifically for issues that are great for getting started.
- Checkout the contribution guide to learn more about our style and conventions.
- Make your changes compatible to our workflow.
You like Mainflux and you would like to make it your day job? We're always looking for talented engineers interested in open-source, IoT and distributed systems. If you recognize yourself, reach out to @drasko - he will contact you back.
The best way to grab our attention is, of course, by sending PRs 😎.
Mainflux is committed to continuously improving its services and ensuring a seamless experience for its users. To achieve this, we collect certain data from your deployments. Rest assured, this data is collected solely for the purpose of enhancing Mainflux and is not used with any malicious intent. The deployment summary can be found on our website.
The collected data includes:
- IP Address - Used for approximate location information on deployments.
- Services Used - To understand which features are popular and prioritize future developments.
- Last Seen Time - To ensure the stability and availability of Mainflux.
- Mainflux Version - To track the software version and deliver relevant updates.
We take your privacy and data security seriously. All data collected is handled in accordance with our stringent privacy policies and industry best practices.
Data collection is on by default and can be disabled by setting the env variable:
By utilizing Mainflux, you actively contribute to its improvement. Together, we can build a more robust and efficient IoT platform. Thank you for your trust in Mainflux!