marimo ist ein reaktives Open-Source-Python-Notebook für moderne Datenwissenschaft und KI. Es bietet eine reproduzierbare, Git-freundliche und interaktive Umgebung, in der Notebooks reine Python-Skripte sind. Zu den Funktionen gehören integrierte KI-Unterstützung, SQL-Zellen und die Möglichkeit, Notebooks als Web-Apps zu teilen, was den Arbeitsablauf vom Experiment bis zur Produktion optimiert.
Streamlit ist ein Open-Source-Python-Framework, das es Entwicklern und Datenwissenschaftlern ermöglicht, in wenigen Minuten ansprechende, benutzerdefinierte Web-Apps für maschinelles Lernen und Datenwissenschaft zu erstellen und zu teilen. Die Streamlit Community Cloud bietet eine kostenlose Plattform zum Bereitstellen, Verwalten und Teilen dieser öffentlichen Anwendungen mit der Welt und fördert so eine kollaborative Umgebung für Innovationen.
marimo ist ein reaktives Open-Source-Python-Notebook für moderne Datenwissenschaft und KI. Es bietet eine reproduzierbare, Git-freundliche und interaktive Umgebung, in der Notebooks reine Python-Skripte sind. Zu den Funktionen gehören integrierte KI-Unterstützung, SQL-Zellen und die Möglichkeit, Notebooks als Web-Apps zu teilen, was den Arbeitsablauf vom Experiment bis zur Produktion optimiert.
Streamlit ist ein Open-Source-Python-Framework, das es Entwicklern und Datenwissenschaftlern ermöglicht, in wenigen Minuten ansprechende, benutzerdefinierte Web-Apps für maschinelles Lernen und Datenwissenschaft zu erstellen und zu teilen. Die Streamlit Community Cloud bietet eine kostenlose Plattform zum Bereitstellen, Verwalten und Teilen dieser öffentlichen Anwendungen mit der Welt und fördert so eine kollaborative Umgebung für Innovationen.
| Feature | marimo | Streamlit |
|---|---|---|
| Hauptkategorie | Datenvisualisierung | Datenvisualisierung |
| Hinzugefügt | 2025-08-02 | 2025-08-17 |
| Preismodell | Freemium | Freemium |
| Offizielle Website | marimo.io | share.streamlit.io |
| Produkttyp | Website | Website |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 156.6K | 918.5K |
| Monatliches Wachstum | -8.4% | 6.5% |
| Favoriten | 97 | 125 |
| Details | Details ansehen | Details ansehen |
Compare marimo and Streamlit by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the marimo vs Streamlit monthly traffic comparison, marimo currently shows 156.6K visits and Streamlit shows 918.5K; Streamlit has about 5.9 times the visible traffic of marimo, an absolute difference of about 761.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 41.19% | 64.5K |
| 🇩🇪Germany | 28.12% | 44K |
| 🇨🇦Canada | 13.42% | 21K |
| 🇰🇷Korea, Republic of | 8.79% | 13.8K |
| 🇬🇧United Kingdom | 8.48% | 13.3K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 70.5% | 110.4K |
| Verweis | 27.55% | 43.1K |
| 1.95% | 3.1K |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.68% | 410.4K |
| 🇮🇳India | 25.68% | 235.9K |
| 🇰🇷Korea, Republic of | 12.59% | 115.6K |
| 🇬🇧United Kingdom | 8.9% | 81.7K |
| 🇵🇰Pakistan | 8.15% | 74.9K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 57.82% | 531.1K |
| Verweis | 40.37% | 370.8K |
| 1.81% | 16.6K |
This in-depth marimo vs Streamlit comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. marimo is primarily listed under “Datenvisualisierung”, while Streamlit is primarily listed under “Datenvisualisierung”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (marimo: 156.6K; Streamlit: 918.5K); Monthly growth (marimo: -8.4%; Streamlit: 6.5%); Favorites (marimo: 97; Streamlit: 125); Website (marimo: marimo.io; Streamlit: share.streamlit.io); Added (marimo: 2025-08-02; Streamlit: 2025-08-17). These facts are more useful for selection than brand visibility alone.
In the marimo vs Streamlit monthly traffic comparison, marimo currently shows 156.6K visits and Streamlit shows 918.5K; Streamlit has about 5.9 times the visible traffic of marimo, an absolute difference of about 761.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Streamlit first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
marimo and Streamlit currently overlap in shared categories: Datenvisualisierung; shared tags: Datenwissenschaft, Datenvisualisierung, Entwicklerwerkzeuge, maschinelles Lernen, Open Source und Python. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
marimo's unique categories/tags are Notebook, Entwicklung, KI-Entwicklung, Jupyter-Alternative, Reaktive Programmierung und SQL; Streamlit's are Low-Code No-Code, App-Baukasten, Dashboard und Web-App. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
marimo has no verified rating, 0 comments, 97 favorites, and 101 likes；Streamlit has no verified rating, 0 comments, 125 favorites, and 125 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put marimo on the priority trial list when the task aligns with “Datenvisualisierung” and especially Notebook, Entwicklung, KI-Entwicklung, Jupyter-Alternative, Reaktive Programmierung und SQL. This follows recorded positioning and does not imply unlisted capabilities are absent.
marimo also currently records: pricing is freemium, product type is website, 156.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Streamlit on the priority trial list when the task aligns with “Datenvisualisierung” and especially Low-Code No-Code, App-Baukasten, Dashboard und Web-App. This follows recorded positioning and does not imply unlisted capabilities are absent.
Streamlit also currently records: pricing is freemium, product type is website, 918.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in marimo and Streamlit, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
