dstack

Data

data visualization dashboards

SHOW HN2020

134points
29comments
#457of 3,028 in 2020
Top 16%of 2020 by points

How HN took it

CuriousMostly questions and neutral comments

3 positive, 17 neutral or asking, 1 mixed, 2 critical, out of 23 comments about the project. Thread score +0.01.

Idea: 1 for, 1 againstPrivacy: 0 for, 1 againstDesign: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Congratulations on shipping; nice initiative

    From 2 comments
    • Nice initiative
      bmarotta on HN
    • The github README is a bit confusing to understand (for someone with no experience). The [1] landing page shows a much clearer outline on what this actually is. Seems like it…
      gitgud on HN

Objections

  • README is confusing for newcomers

    From 1 comment
    • The github README is a bit confusing to understand (for someone with no experience). The [1] landing page shows a much clearer outline on what this actually is. Seems like it…
      gitgud on HN
  • Terms of use grant overly broad rights to user content

    From 1 comment
    • I am trying to use dstack on my device and it still asked for a login information, which prompted me to read the terms and under "User Content" I notice this ``` You hereby grant…
      bicepjai on HN
  • Reproducibility and versioning of notebooks not addressed

    From 1 comment
    • How do you deal with differential versioning of code and data, and the fact that people don't always execute notebooks from top to bottom? For instance, suppose I have a notebook…
      PaulHoule on HN

Requests

  • More examples and visual output previews

    From 1 comment
    • I looked through github and see you have coded examples, can you also include the visual output so I can get a sense of what it'll achieve without having to set it up to see?
      Cypher on HN
  • Clarify the roadmap for user callbacks

    From 1 comment
    • Thanks for sharing! Can you elaborate on “What’s next”? > User callbacks- so that application shows not just pre-calculated visualizations but also can fetch data from a store…
      peterthehacker on HN
  • Add license information to the repo

    From 1 comment
    • Does this need some License information adding to your repo? Something that protects you from someone taking this and running their own paid hosted version :) I take it it isn't…
      jordz on HN

Questions

  • How does it compare to Dash, Shiny and similar tools

    From 2 comments
    • Looks great, how do you compare to other alternatives in the same space?
      helltone on HN
    • how does this compare to dash by plotly, or r shiny, in terms of the intended use case? It looks like you are more of a wholistic platform, including a workflow scheduler etc.
      mushufasa on HN
  • How user callbacks would be triggered

    From 1 comment
    • Thanks for sharing! Can you elaborate on “What’s next”? > User callbacks- so that application shows not just pre-calculated visualizations but also can fetch data from a store…
      peterthehacker on HN

Alternatives named

  • Streamlit

    From 2 comments
  • Plotly Dash

    From 2 comments
    • streamlit plotly dash
      vsskanth on HN
    • how does this compare to dash by plotly, or r shiny, in terms of the intended use case? It looks like you are more of a wholistic platform, including a workflow scheduler etc.
      mushufasa on HN
  • Shiny

    From 1 comment
    • Hi, I'm Peter, a part of the team. There is quite a few solutions already that try to make it easy to make data applications with Python or R. The most relevant solutions include…
      peterschmidt on HN
  • Anvil

    From 1 comment
  • Voila

    From 1 comment
    • Hi, I'm Peter, a part of the team. There is quite a few solutions already that try to make it easy to make data applications with Python or R. The most relevant solutions include…
      peterschmidt on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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