--- description: 검증된 사용 후기를 확인하고 Dash 사용성, 특징, 가격, 장점과 단점에 대한 자세한 정보를 확인해보세요! 비슷한 경쟁 제품도 확인이 가능합니다. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Dash 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [데이터 시각화 소프트웨어](/directory/30696/data-visualization/software) > [Dash](/software/178865/plotly) # Dash Canonical: https://www.capterra.co.kr/software/178865/plotly Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/178865/plotly?page=2) > 기업이 대화형 웹 애플리케이션을 개발하고, 팀원과 디자인 관련 공동 작업을 수행할 수 있게 해주는 데이터 시각화 플랫폼입니다. > > Verdict: Rated **4.6/5** by 11 users. Top-rated for **추천 가능성**. ----- ## Overview ### Dash은(는) 누가 사용하나요? 모든 규모의 기업이 대화형 웹 애플리케이션을 개발 및 배포하고, 팀원과 공동 작업을 수행하고, 액세스 권한을 부여하고, 보고서를 생성할 수 있게 해주는 데이터 시각화 솔루션입니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.6/5** | 11 리뷰 | | 사용 편의성 | 4.5/5 | Based on overall reviews | | 고객 지원 | 4.2/5 | Based on overall reviews | | 비용 대비 가치 | 4.8/5 | Based on overall reviews | | 특징 | 4.4/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 추천 가능성) | ## 공급업체 정보 - **회사**: Plotly ## Commercial Context - **Pricing model**: (Free version available) (무료 체험판) - **Target Audience**: 51~200, 201~500, 501~1,000, 1,001~5,000, 5,001~10,000, 10,000+ - **Deployment & Platforms**: 클라우드, SaaS, 웹 기반 - **Supported Languages**: 영어 - **Available Countries**: 미국 ## 특징 - API - 대시보드 - 대화형 보고서 - 데이터 가져오기/내보내기 - 데이터 시각화 - 맞춤형 대시보드 - 맞춤형 템플릿 - 보고/분석 - 시각 분석 - 예측 - 협업 도구 ## Support Options - 채팅 ## Category - [데이터 시각화 소프트웨어](https://www.capterra.co.kr/directory/30696/data-visualization/software) ## 관련 범주 - [데이터 시각화 소프트웨어](https://www.capterra.co.kr/directory/30696/data-visualization/software) - [비즈니스 인텔리전스 소프트웨어](https://www.capterra.co.kr/directory/23/business-intelligence/software) - [보고 소프트웨어](https://www.capterra.co.kr/directory/30053/reporting/software) - [임베디드 분석 소프트웨어](https://www.capterra.co.kr/directory/31697/embedded-analytics/software) - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) ## 대안 1. [Google Analytics 360](https://www.capterra.co.kr/software/177042/google-analytics) — 4.7/5 (8089 reviews) 2. [Looker](https://www.capterra.co.kr/software/169053/looker) — 4.5/5 (282 reviews) ## 리뷰 ### "Excellent framework to create interactive visualisations" — 5.0/5 > **Debarpan** | *2022년 4월 18일* | 마케팅 및 광고 | Recommendation rating: 10.0/10 > > **장점**: Excellent interface and user-friendly UI Open-source and free Good community support Connects to multiple data sources like flat files, multiple databases Visualisations update when data is updated Multiple developers can access a visualisation simultaneously - Good team collaboration Real-time analytics Minimal time required to set up and get started > > **단점**: Customer support could be improved Optimal memory allocation for larger datasets > > We used Dash to generate visualisations. We had huge volumes of data from an enterprise system. We switched to Dash since it looked promising with a wide range of visualisation options and was free. With Dash, we were able to create excellent visualisations, perform analytics to uncover insights, and share the reports with stakeholders. Dash can connect with multiple applications hence we can leverage the capabilities of other advanced analytics applications. Next, all visualisations are stored in a repository and cen be referenced later. ----- ### "Review of Dash" — 4.0/5 > **Christhian** | *2024년 10월 21일* | 금융 서비스 | Recommendation rating: 8.0/10 > > **장점**: Dash is a great python famework that helps you to get handson creating a Dashboard or webapp from A-to-Z > > **단점**: Dash is developped on top of Flask and when it comes to advanced configuration, you'll need to know some more about Flask ----- ### "Suitable for quick, simple MVP dashboards" — 4.0/5 > **Eric** | *2025년 3월 20일* | 교육 관리 | Recommendation rating: 6.0/10 > > **장점**: As claimed, it was fast to create a prototype/MVP. Could achieve a reactive frontend with little/no knowledge of React - Dash handled the communication with the backend well. > > **단점**: Even with our simple MVP we hit into customisation limits for the front end display, and needed to start hacking the HTML/CSS by hand. Perhaps this is unfair criticism given what Dash is trying to achieve\! > > Overall it is positive. Fast and works as advertised for an MVP/Dashboard. ----- ### "web dev tool for data scientist" — 5.0/5 > **Mohannad** | *2023년 12월 19일* | 정보 기술 및 서비스 | Recommendation rating: 10.0/10 > > **장점**: Dash by Plotly stands out as an indispensable tool in Python. I believe it is a must-have for data scientists and machine learning engineers, providing not only excellent capabilities for data visualization and exploration but also enabling the easy development of data-related web applications, including dashboards and interfaces to communicate with models. Its advanced features, such as callbacks, enhance its functionality. Additionally, the extensive and responsive community surrounding Dash further adds to its appeal. > > **단점**: There are no drawbacks to mention; it's an exceptionally good tool for its intended purpose ----- ### "A great complementary tool to Jupyter Notebooks" — 5.0/5 > **Etienne** | *2022년 2월 15일* | 컴퓨터 소프트웨어 | Recommendation rating: 10.0/10 > > **장점**: This tool allowed us to deliver something more meaningful to our clients rather than a script or a Jupyter Notebook. Client was able to see the code and play with its inherent interactivity. > > **단점**: Callback logic tends to let you think too much about the sequential events, less about parallel stuff. We would have hoped to find more examples in the documentation, we are forced to scrap Github repository for x specific feature. For example the architecture concepts explained are way too scarce. Some part of the doc is incomplete (Cytoscape and other UI kits) > > We have switched from a React app to a Dash by Plotly app. We've later added a full microservice architecture using FastAPI. The app was live and functional within 48 hours, we were amazed how fast was the lift off phase. Our journey with Dash has been mind blowing in term of data science experiments. Also our experience while manipulating network graph was greatly improved, this can help to model and build solutions to complex problems. In short our problem solving skills have been tremendously improved ----- Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/178865/plotly?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/178865/plotly) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | ko | | ----- ## Structured Data