From the launch of datart 1.0 alpha in October 2021 to the release of beta.4 last week, the datart development team has been continuously updating with ingenuity and sincerity in optimization. happy.
First Encounter: The Next Stop for Data Visualization Platforms
Let us first review davinci, which was officially open sourced on github in 2017, the predecessor of datart. According to incomplete market statistics, nearly 70% of the companies on the market have used davinci for open source data visualization before. davinci is committed to supporting enterprises to complete the "last ten kilometers of big data", visual reports, large data screens, support for mobile terminals, support for light data processing, support for integration into other systems, support for different teams to work together, etc. Hundreds of thousands of enterprises have been put into production, or Erkai has provided products and services to its customers. After achieving great success, the team is also planning the next stop of the data visualization platform . Therefore, in the second half of 2021, datart came into being.
The team reshaped the original product from design to kernel code, and carried a new product mission with a new cognitive abstraction. Therefore, datart is open, pluggable , and has the intelligence of the data visualization platform. After a big upgrade, users clearly feel that datart is more flexible and easy to use, and more malleable when using it.
Knowing each other: Always keep the feeling of "heart"
For many users and contributors, the label of datart is not only "easy to use", "agile", but also "magic" that keeps people "heart". From davinci to datart, along the way, we have gained a lot of supporters and followers. They have been actively and actively raising issues and pr actions as datart's "super fans" and actively providing them in the group. Help and guidance, the original two-open tutorial is a crazy "call" for datart... " an all-night carnival" at the "grand event" of domestic open-source data visualization .
Behind the carnival is the acquaintance of each other. Behind the "heartbeat" has always been the team and users, who treat data products with the greatest enthusiasm.
Whether it is the datart development team or all users and contributors in the open source community, they can be called "super fans" of data art and "artists" of domestic open source data visualization products . At this point, the editor can't hold back his trembling hands, and I'm particularly excited to introduce datart - one of the "data artists" group - Snail from the agile big data open source community . He is currently working at Lenovo SSG ( Advisory Engineer, Data Architecture) .
"Actually, there are many users in the community who started with davinci and followed the team all the way", "super fan" Snail said, "I have been following and using davinci since the first year, and I also participated in it. Among the contributions, whether it is the innovation of datart, or the leading and representing a strong advance in data visualization, every time a new version is released, I have a feeling of "heart" and "pilgrimage".
Precisely because of maintaining this "heartbeat" and in the spirit of open source, Snail students recorded their own experience in learning and using davinci and datart into videos , from the experience of beginners to data charts, controllers, etc. The operation is very detailed, and the video content is detailed and professional. Whether it is a beginner of data visualization, or a user and contributor of the same level, it is very friendly. In addition, all the materials and software packages involved in the video have also been uploaded to the network disk by Snail, which is really nice.
A total of 21 videos-davinci
Currently updated 15 videos - datart
At present, Snail has recorded 15 episodes, and they will continue to update in the future. You can pay more attention. Search for "Data Visualization datart" in Station B, or watch it through the link: https://space.bilibili.com/251277098/video . In addition, students who need to learn and use datart open source data visualization can search edpstack on WeChat and apply to join the domestic open source data visualization community.
Next, datart will enter the rc stage. The official team said: "From davinci to datart, we are about to usher in the 5th anniversary of our domestic open source data visualization. We have completed the function improvement and detail optimization of the beta version. At this stage, we will aggregate more applications and open source them in terms of data visualization, share more ideas with each other, and produce more visualization ideas together, showing the charm of "data art" .
Transformation: Uninterrupted opening and innovation
The openness of datart is not only reflected in the fact that it is extensible and pluggable in practical applications, but also in the process of designing and polishing products by the team, adhering to the way of user thinking and user experience first to carry out "transformation" , and because of this, this It is the event that attracts so many users and contributors.
"Each function point of datart is driven by user needs , transforming users' wishes into practical products . Under this premise, the needs are refined and innovated, and a comprehensive visualization product is constructed and reshaped", The official team mentioned that, for example, in the recently released datart beta.4 version, many function points were supported, added, refactored and fixed, and the resource migration function was supported. Removed the "Grouping" feature, refactored the "Interaction Behavior" feature for charts and dashboards, and fixed several exceptions.
Communicate with users in many open source communities. In addition to receiving a lot of positive feedback, the official team also discusses with users the areas that need to be improved during the iterative update of the product. At the same time, the size of the contributing team is also In the continuous expansion, there are countless excellent contributors like Snail, such as cabbage, Bai Yuchuan, Tianhe, Xiaobao, nil ... Innovative applications of charts, two-open, embedded systems, etc., datart is open and listening to the voices of users on the way to growth, and has never ceased to innovate, striving to bring users a better experience.
Bloom: datart — data art
Remodeling, opening, transformation and continuous innovation have made today's datart what it is today. In the communication with the "super iron fans", I clearly felt: "The application of data visualization not only changes the way of data presentation, but also accelerates the process of data value creation. ".
In the cloud era, innovation and openness are the "accelerators" for continuous development. Looking back on the past 9 months, the development of datart data visualization applications is inseparable from the open source community. Talking about the future development of datart, Xu Xiang, the team leader, said: " datart will always maintain its own characteristics and open source attributes . Every time a new version is released, not only does it feel the atmosphere of warm communication in the open source community, but also gains a lot of benefits. The lack of loyal users and contributors from overseas, the strong market demand, and user feedback from datart have far exceeded our estimates.”
In the future, how to provide some commercial and customized services on the basis of maintaining open source community users? In response to this problem, Xu Xiang, the team leader, said: "We can solve this problem in three dimensions: First, we can solve this problem through datart itself. The essential requirements of customer data visualization, because many times we think that we need a set of customized services, in fact, through the appearance, we dig deep into the internal needs, datart has matured, and the needs of customer data visualization applications can be covered. Second, in It is more flexible and open to perform two openings on datart, or to embed other systems of the enterprise, to open up applications between systems, in the form of api interfaces, etc. Third, compared with domestic BI tools, datart takes a completely different route. With low code or even no code, it can fully meet the customized development needs of customers.
At present, according to incomplete statistics, datart has thousands of enterprise users, links multi-end data participants in various industries , stimulates multi-party interaction between application development and demand , and is forming a huge data visualization network with obvious efficiency. We are optimistic about the agile BI industry The wave of upgrades is more optimistic about this data art ecology jointly built by "super fans" and "data artists" .