VisActor / VisActor/VChart

[Feature] Taro编译成小程序的版本,打包体积缩小

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#3,691 3 comments 0 reactions 0 assignees View on GitHub

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Dominant language
TypeScript
Stars
1.8k
Forks
221
Avg merge
1d 6h
Merged PRs (30d)
26

Description

What problem does this feature solve?

希望对Taro编译成小程序的版本,打包体积缩小。 目前使用了按需加载的情况下,仍旧体积还是非常大,超出了微信小程序2M的限制。
希望能做的更小一点。

What does the proposed API look like?

语义化标签使用 希望最后打包结果只有几百K。

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by measuring the Taro-generated mini-program bundle for the semantic usage and compare it with the current 2 MB WeChat limit. Investigate how on-demand loading affects the packaged output; done means the resulting bundle is reduced to a few hundred KB or otherwise fits within the stated limit.

Written by the indexing model from the issue text.

Assessment

Tech stack
typescript
Domain
build-system, data-visualization
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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