Grafana
Prometheus
Datadog
NewRelic
Dynatrace
Splunk
Kibana
Zabbix
CodeOcean
replit
Open Science Framework
GitHub
figshare
Photo AI
Enchant
Lugg
Grafana CodeOceanNo features have been listed yet.
Grafana is particularly recommended for IT professionals, data analysts, and engineers who need to monitor and visualize large datasets in real-time. It's ideal for organizations running complex systems or applications that require comprehensive monitoring to ensure uptime and performance are maintained. Additionally, Grafana is suitable for teams that value open-source solutions and require a platform that can integrate with multiple data sources and adapt to various monitoring needs.
Based on our record, Grafana seems to be a lot more popular than CodeOcean. While we know about 258 links to Grafana, we've tracked only 3 mentions of CodeOcean. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The JSON output file can be analyzed using various tools. One popular option is to use Grafana along with k6 Cloud. You can also use the built-in summary report that k6 provides at the end of the test run. - Source: dev.to / 3 months ago
Enable Application Logging, Monitoring and Alerting using services like CloudWatch or Grafana. - Source: dev.to / 3 months ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 3 months ago
Prometheus lets you see this in real time. The vLLM metrics endpoint exposes vllm:gpu_cache_usage_perc and vllm:num_requests_waiting via a /metrics endpoint. Wire those up to Grafana, and youโll immediately see when youโre cache-bound versus compute-bound, which tells you exactly which optimization to reach for first. - Source: dev.to / 4 months ago
Grafana โ visualisation layer that renders live dashboards. - Source: dev.to / 5 months ago
I was an early hire at a computational reproducibility startup for scientists [0]; The platform was basically a web-based frontend wrapped around a Docker container hosted on AWS, and the idea was that you'd put your code and data on the platform and have it be online-executable indefinitely, and you wouldn't have to worry about package updates, functions breaking, etc., because it was containerized. The... - Source: Hacker News / almost 3 years ago
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products? It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean? https://github.com/allegroai/clearml https://codeocean.com/. - Source: Hacker News / over 4 years ago
Code ocean also exists for this purpose, though the number of compute hours is limited on free academic licenses. Source: almost 5 years ago
Prometheus - An open-source systems monitoring and alerting toolkit.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Open Science Framework - Open Science Framework provides project management with collaborators, and project sharing with the public.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.