marimo
データ視覚化 · 156.6K 月間訪問数
marimoは、現代のデータサイエンスとAIのためのオープンソースのリアクティブPythonノートブックです。再現可能でGitフレンドリー、かつインタラクティブな環境を提供し、ノートブック自体が純粋なPythonスクリプトです。組み込みのAIアシスタンス、SQLセル、ノートブックをWebアプリとして共有する機能などを備え、実験から本番までのワークフローを効率化します。
VS
Streamlit
データ視覚化 · 918.5K 月間訪問数
Streamlitは、開発者やデータサイエンティストが機械学習やデータサイエンスのための美しいカスタムWebアプリを数分で構築・共有できるようにする、オープンソースのPythonフレームワークです。Streamlit Community Cloudは、これらの公開アプリケーションをデプロイ、管理し、世界と共有するための無料プラットフォームを提供し、協力的なイノベーション環境を育んでいます。
製品概要
marimo 製品概要
marimoは、現代のデータサイエンスとAIのためのオープンソースのリアクティブPythonノートブックです。再現可能でGitフレンドリー、かつインタラクティブな環境を提供し、ノートブック自体が純粋なPythonスクリプトです。組み込みのAIアシスタンス、SQLセル、ノートブックをWebアプリとして共有する機能などを備え、実験から本番までのワークフローを効率化します。
Preview
Streamlit 製品概要
Streamlitは、開発者やデータサイエンティストが機械学習やデータサイエンスのための美しいカスタムWebアプリを数分で構築・共有できるようにする、オープンソースのPythonフレームワークです。Streamlit Community Cloudは、これらの公開アプリケーションをデプロイ、管理し、世界と共有するための無料プラットフォームを提供し、協力的なイノベーション環境を育んでいます。
Preview
Detailed feature comparison
marimo vs Streamlit monthly traffic
Compare marimo and Streamlit by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
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.
marimo monthly traffic:
Latest traffic
月間訪問数
156.6K
平均滞在時間
1:26
訪問あたりページ数
4.06
直帰率
40.28%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 99.4K 月間訪問数
- 2026/1: 131.5K 月間訪問数
- 2026/2: 141.3K 月間訪問数
- 2026/3: 173.2K 月間訪問数
- 2026/4: 171K 月間訪問数
- 2026/5: 156.6K 月間訪問数
主要地域
Top 5 countries/regions
| 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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 70.5% | 110.4K |
| 参照元 | 27.55% | 43.1K |
| Eメール | 1.95% | 3.1K |
検索キーワード
marimomarimo notebookmarimo pairmarimo pythonmolab
Streamlit monthly traffic:
Latest traffic
月間訪問数
918.5K
平均滞在時間
3:29
訪問あたりページ数
3.41
直帰率
56.87%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 501.6K 月間訪問数
- 2026/1: 717.2K 月間訪問数
- 2026/2: 702.3K 月間訪問数
- 2026/3: 847.5K 月間訪問数
- 2026/4: 862.8K 月間訪問数
- 2026/5: 918.5K 月間訪問数
主要地域
Top 5 countries/regions
| 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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 57.82% | 531.1K |
| 参照元 | 40.37% | 370.8K |
| Eメール | 1.81% | 16.6K |
検索キーワード
share.streamlitstreamlitstreamlit cloudstreamlit community cloudstreamlit login
Traffic-based selection guidance: 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.
Usage comparison
Compare the core capabilities of marimo and Streamlit
marimo Core features
データ視覚化
ノートブック
開発
Streamlit Core features
データ視覚化
ローコード・ノーコード
アプリビルダー
Use cases
marimo Use cases
データサイエンス
データ視覚化
開発者ツール
機械学習
オープンソース
Python
AI開発
Jupyter の代替
ノートブック
リアクティブプログラミング
SQL
Streamlit Use cases
データサイエンス
データ視覚化
開発者ツール
機械学習
オープンソース
Python
アプリビルダー
ダッシュボード
Webアプリ
marimo vs Streamlit：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
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 “データ視覚化”, while Streamlit is primarily listed under “データ視覚化”, 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.
What market visibility and monthly traffic mean
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.
Product positioning, use cases, and roles
marimo and Streamlit currently overlap in shared categories: データ視覚化; shared tags: データサイエンス、データ視覚化、開発者ツール、機械学習、オープンソース、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 ノートブック、開発、AI開発、Jupyter の代替、リアクティブプログラミング、SQL; Streamlit's are ローコード・ノーコード、アプリビルダー、ダッシュボード、Webアプリ. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
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.
Selection guidance by actual need
When to evaluate marimo first
Put marimo on the priority trial list when the task aligns with “データ視覚化” and especially ノートブック、開発、AI開発、Jupyter の代替、リアクティブプログラミング、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.
When to evaluate Streamlit first
Put Streamlit on the priority trial list when the task aligns with “データ視覚化” and especially ローコード・ノーコード、アプリビルダー、ダッシュボード、Webアプリ. 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.
How to validate the recommendation before deciding
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.
比較 FAQ
How should I choose between marimo and Streamlit?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.