ThingSpeak

Best Self-hosted Alternatives to ThingSpeak

A curated collection of the 4 best self hosted alternatives to ThingSpeak.

ThingSpeak is a cloud IoT analytics platform for collecting, storing, visualizing, and analyzing time-series sensor data. It provides channels, REST/MQTT ingestion, dashboards, alerts and MATLAB-based analytics for IoT telemetry and simple analytics workflows.

Alternatives List

#1
ThingsBoard

ThingsBoard

Open-source IoT platform for device management, telemetry collection, rule-based processing, alarms, and real-time dashboards using standard IoT protocols.

ThingsBoard is an open-source IoT platform for connecting, managing, and monitoring devices while collecting, processing, and visualizing telemetry data. It supports both on-premises and cloud deployments and is designed for scalable, fault-tolerant IoT solutions.

Key Features

  • Device and asset management with entity relationships and server-side APIs
  • Device connectivity via MQTT, CoAP, and HTTP(S)
  • Telemetry ingestion and storage with real-time visualization dashboards
  • Extensible widgets and dashboard building, including SCADA-style dashboards
  • Rule Engine with configurable rule chains for processing, enrichment, routing, and actions
  • Alarms management with propagation across entity hierarchies
  • Multi-tenancy support for tenants, customers, and role-based administration
  • Remote device control via RPC and attribute management

Use Cases

  • Industrial monitoring and SCADA dashboards for operational control
  • Fleet and asset tracking with real-time maps and alerts
  • Smart metering/energy monitoring with threshold-based alarms and reporting

Limitations and Considerations

  • Full functionality (e.g., clustering/microservices capabilities) depends on the chosen deployment mode and supporting infrastructure.

ThingsBoard is well-suited for teams that need a device-agnostic IoT backend with strong visualization, rule-based automation, and multi-tenant support. It provides a solid foundation for building production IoT applications that require reliable ingestion, processing, and operational dashboards.

21.2kstars
6.2kforks
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#2
OpenRemote

OpenRemote

OpenRemote is a 100% open-source IoT platform for device management, data dashboards, and automation with rules, APIs, and multi-tenant user management.

OpenRemote screenshot

OpenRemote is a 100% open-source IoT platform for connecting, managing, and monitoring devices and assets. It provides device provisioning, automation rules, and dashboards to analyze and visualize live and historical data, with multi-tenant support for serving multiple customers or organizations.

Key Features

  • Device and asset management with customizable asset types
  • Secure connectivity via APIs and protocol integrations (e.g., MQTT, HTTP/REST, WebSocket)
  • Automation using a rules engine with drag-and-drop flows and scripting (JavaScript and Groovy)
  • Alerts and notifications based on live telemetry and events
  • Dashboard and insights builder for data visualization
  • Multi-tenancy (realms) with users, roles, and restricted access
  • Extensible web components for building custom web apps for installers and end-users

Use Cases

  • IoT manufacturers managing distributed devices with provisioning, monitoring, and updates
  • System integrators unifying multiple on-site systems into a single monitoring and control platform
  • Energy management and smart building scenarios using rules, alarms, and dashboards

Limitations and Considerations

  • Historical attribute data retention is governed by configurable purge policies, which may require tuning for long-term analytics needs

OpenRemote fits teams that need an end-to-end, customizable IoT foundation: connectivity, asset modeling, automation, and visualization in one platform. Its multi-tenant architecture and extensibility make it suitable for both single deployments and solutions delivered to multiple customers.

1.7kstars
410forks
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#3
Emoncms

Emoncms

Open-source web app to collect, process, store, and visualize energy, temperature, and other environmental time-series data with dashboards, graphs, and an API.

Emoncms screenshot

Emoncms is an open-source web application for processing, logging, and visualizing energy, temperature, and other environmental sensor data. It is part of the OpenEnergyMonitor ecosystem and is commonly used to build local energy monitoring and reporting systems.

Key Features

  • Input processing pipeline to transform, scale, filter, and route incoming measurements into stored feeds
  • Time-series feed storage optimized for sensor data logging, including built-in PHP-based engines (e.g., PHPFina and PHPTimeSeries)
  • Dashboards and advanced graphing via modular components (dashboard and graph modules)
  • HTTP API for posting data and querying feeds for integration with external devices and systems
  • Optional Redis buffering and processing to reduce disk writes and support certain input processors
  • CSV export and tools for backups/imports depending on installed modules

Use Cases

  • Home and building energy monitoring (electricity, solar PV, heat, hot water)
  • Logging and visualization of temperature, humidity, and other environmental metrics
  • Creating shareable dashboards for energy and sustainability reporting

Limitations and Considerations

  • Some features and workflows depend on optional modules and background workers; deployments without Redis may have reduced functionality for certain processors
  • Official installation guidance and testing focus on Linux environments (notably Debian/Ubuntu and Raspberry Pi OS)

Emoncms is a practical choice when you need a customizable, self-managed platform to ingest sensor readings, store them as time series, and present them through dashboards and graphs. Its API- and module-driven design makes it suitable for both DIY monitoring setups and more integrated energy data systems.

1.3kstars
534forks
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#4
Fitbit Fetch Script and InfluxDB Grafana Integration

Fitbit Fetch Script and InfluxDB Grafana Integration

Python service that pulls Fitbit health metrics via the Fitbit Web API, stores them in InfluxDB, and provides Grafana dashboards for long-term trend visualization.

A Python-based data collection service that retrieves personal health and activity metrics from the Fitbit Web API, writes them into a local InfluxDB time-series database, and visualizes the results in Grafana. It is designed for ongoing automatic syncing as well as historical backfilling to build long-term health trends.

Key Features

  • Automatic data collection from the Fitbit API with OAuth 2.0 token refresh
  • Stores metrics in InfluxDB for time-series analysis (best supported on InfluxDB 1.11)
  • Grafana dashboard support, including heatmaps and long-term trend panels
  • Collects a broad set of metrics such as heart rate (including intraday), steps, sleep, SpO2, HRV, breathing rate, activity minutes, and device battery
  • Historical backfilling mode designed to respect Fitbit rate limits and handle 429 responses
  • Docker Compose stack for running the fetcher, InfluxDB, and Grafana together

Use Cases

  • Personal health and fitness dashboard with long-term trends and daily summaries
  • Homelab time-series tracking of wearable metrics in InfluxDB with Grafana
  • Historical analysis by backfilling months/years of Fitbit data for reporting

Limitations and Considerations

  • Requires creating a Fitbit developer application and configuring OAuth tokens
  • InfluxDB 2.x support is described as limited and may produce a less detailed dashboard; InfluxDB 1.11 is strongly recommended
  • InfluxDB 3 OSS has query-time limitations that can make long-term visualization harder

It works well for users who want ownership of their Fitbit-derived metrics in their own database and prefer Grafana for visualization. The included schema and dashboards make it practical to deploy as a repeatable, automated pipeline.

828stars
66forks
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Why choose an open source alternative?

  • •Data ownership: Keep your data on your own servers
  • •No vendor lock-in: Freedom to switch or modify at any time
  • •Cost savings: Reduce or eliminate subscription fees
  • •Transparency: Audit the code and know exactly what's running