Chronosphere Observability Platform vs Glances
Chronosphere Observability Platform
chronosphere.ioGlances
nicolargo.github.ioSide by side
| Figure | Chronosphere Observability Platform | Glances |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 2 |
| Spec score · Container Monitoring | 8.3 (#13) | 8.8 (#8) |
| Deployment | The Observability Platform is a SaaS service; customer environments deploy Chronosphere collectors, while Chronosphere manages the datastore and dashboards. | Glances can be installed with pip, pipx, Homebrew or Linux and FreeBSD packages, and Docker images are available. |
| Support | Customer support includes 24/7/365 communication by Slack, Zendesk, or email, plus customer success resources and optional office hours. | The project directs users to its manual, official Reddit forum and GitHub Discussions for help. |
| What it does | Chronosphere is a cloud native observability platform that provides insights across infrastructure, applications, and business systems. | Glances is a Python-based, cross-platform system monitoring tool with terminal and web interfaces. |
Plans
Chronosphere Observability Platform
- Chronosphere Observability PlatformPriced on request
In their own words
Chronosphere Observability Platform
Chronosphere Observability Platform has no write-up on Specifiction yet; its figures are above.
Glances
Glances is a free, open-source, cross-platform tool for monitoring real-time system statistics and running processes. Its listed coverage includes CPU, memory, load, processes, network, disk I/O, sensors, filesystems, containers, alerts, and uptime. Client/server mode enables remote monitoring through a terminal, web interface, or API, while its built-in web UI lets users view a system from a browser-equipped device. Statistics can be exported to CSV or JSON files, databases such as InfluxDB and Prometheus, brokers such as RabbitMQ and Kafka, or a REST endpoint. The project documents Docker and Podman support and describes Docker and LXC container monitoring in its README. Installation options include pip, pipx, Homebrew, Linux and FreeBSD packages, and Docker images. Glances 4 requires Python 3.10 or higher. Its default installation does not include web interface dependencies; separate extras cover features such as web, GPU, containers, exports, and MCP. Version 4.5.1 and higher can provide an MCP server for AI assistants. The project uses the LGPL version 3 license.