Orchestrate end-to-end machine learning pipelines with Python simplicity
Sematic is an open-source tool that helps machine learning teams automate their workflows using simple Python code. It allows you to define, run, and scale pipelines from your local machine to cloud environments like Kubernetes without complex configurations. This saves time and provides full visibility into your ML experiments, making it easier to manage and debug pipelines.
Define pipelines using Python functions without YAML or DSL
Track and visualize all pipeline artifacts and steps in real-time
Run pipelines locally or on Kubernetes with seamless scaling
Persist and version inputs, outputs, and models automatically
Rerun pipelines from any point with caching for reliability
This tool is best for:
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Recent data shows that Sematic has 1.4K monthly visits (-59.3% decrease from the previous month), 38.0% bounce rate, and average 1.10 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 1 countries worldwide, led by United States contributing 100% of total traffic. SEO performance is shown by 5 tracked keywords, with "sematic" being the top-performing keyword with 2.1K monthly searches. See below for more info.
Monthly Visits
1.4K
Pages per Visit
1.10
Bounce Rate
38.0%
| SEO Keyword | Volume | CPC |
|---|---|---|
| sematic | 2.1K | - |
| sematics | 980 | - |
| sematic meaning | 800 | - |
| machine learning in production | 610 | $1.36 |
| how much it costs to use flat-t5-large | 200 | - |
| Source | Traffic Share |
|---|---|
| Direct | 50% |
| Search | 32% |
| Social | 11% |
| Referrals | 6% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 100% |
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