Spent the last months building

@datastripes/forecast
@datastripes/dashboard
@datastripes/anomaly 

These are framework-agnostic npm packages (React, Vue, Angular, or a plain custom element) that add time-series forecasting, an editable dashboard builder, and anomaly detection to any frontend app.

Everything runs client-side via WebAssembly, so no user data ever hits a server except a license check without a backend to deploy, no Python microservice.

Would genuinely love feedback from anyone who's had to build this kind of feature in-house.

https://datastripes.com/forecast-widget/

https://datastripes.com/dashboard-widget/

https://datastripes.com/anomaly-widget/

built this after getting tired of manually writing fetch wrappers for sites with no public API. point it at a HAR file (browser network capture) and it generates a typed client.

input: a captured request to something like `GET /users/42`

output (simplified):

export interface User {

id: number;

name: string;

email: string;

}

export async function getUser(id: number): Promise<User> {

const res = await fetch(`${baseUrl}/users/${id}`);

if (!res.ok) throw new ApiError(res.status, await res.text());

return res.json();

}

it infers the types from the actual response bodies in the capture, templates dynamic path segments like `{id}`, and also generates an OpenAPI spec + mock server from the same HAR.

also tries to catch GraphQL/tRPC/JSON-RPC calls instead of treating everything as REST, and strips anything sensitive (tokens, cookies) from the captured data before it reaches the generated code.

npx har2sdk capture.har -o ./sdk

repo: https://github.com/Mersbyte/har2sdk

curious what people think of the generated code style, or if anyone's hit an API shape it chokes on.

Free and open source, no signup. The theme changes with the era. Borders before ~500 BC are approximate, and leader data is thin before 1600, so corrections are very welcome. Link in comments.

code: https://github.com/nsijwali/WhoRuled