Airship vs Apache Zeppelin
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. | Airship is a modern product flagging framework that gives the right people total control over what your customers see & experience - without deploying code. |
| - | Launch control; Easy experimentation; Customer configurations; Testing & QA; Accelerate CI/CD; Trial campaigns |
Statistics | |
GitHub Stars 6.6K | GitHub Stars - |
GitHub Forks 2.8K | GitHub Forks - |
Stacks 190 | Stacks 15 |
Followers 306 | Followers 39 |
Votes 32 | Votes 7 |
Pros & Cons | |
Pros
| Pros
|
Integrations | |
What are some alternatives to Apache Zeppelin, Airship?
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
ConfigCat
Cross-platform feature flag service for Teams. It is a hosted or on-premise service with a web app for feature management, and SDKs for all major programming languages and technologies.
Deepnote
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.
Unleash Hosted
It is a simple feature management system. It gives you great overview of all feature toggles across all your applications. You decide who is exposed to which feature.
LaunchDarkly
Serving over 200 billion feature flags daily to help software teams build better software, faster. LaunchDarkly helps eliminate risk for developers and operations teams from the software development cycle.
Flagr
Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions.
Split
Feature flags as a service for data-driven teams: Split automatically tracks changes to key metrics during every feature rollout. Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products.
Dataflow
Build, run & deploy data pipelines, ML models and Streamlit apps without DevOps. Jupyter, Airflow & VS Code in one managed Python platform. Free trial.
DeployRamp
Automatically scans your PRs for risky changes, wraps code in feature flags with tracing, and manages rollout with anomaly detection. Ship faster with confidence.
Featureflip
Featureflip is a feature flag and experimentation platform that lets engineering teams decouple deployment from release. Ship code behind a flag, roll out to a percentage of users or a specific segment, and kill it instantly if something breaks. 13 SDKs (and counting), real-time updates, and a free Solo tier.
