Developers

Build with the charting and market-data stack behind mmflow

Embed crypto charts, connect to mmflow's read-only market-data APIs, bring your own data feed, and reuse the same order-flow primitives that power the terminal. A typed, embed-first SDK: hardware-accelerated WebGL2 rendering, React & Vue bindings, custom indicators via defineIndicator, white-label theming, and real-time clients for JS, Python, Go, and Rust.

Playground

The real @mmflow/charts engine fed live mmflow data — the exact packages you embed, running in the browser.

Benchmark

Stream synthetic OHLCV into the WebGL engine and watch the frame rate hold as the point count climbs.

Data API

Production REST + SSE endpoints, the WebSocket gateway protocol, OpenAPI, and JS / Python / Go / Rust SDKs.

Packages

Install what you need — the core engine is framework-agnostic.

@mmflow/chartsFramework-agnostic WebGL2 engine + createChart, defineIndicator, createDataFeed, theming.

@mmflow/reactTyped <Chart/> component + hooks.

@mmflow/vueTyped <MmChart/> component.

@mmflow/indicatorsExact, tree-shakeable indicator math — SMA, EMA, VWAP, RSI, MACD. Zero dependencies.

@mmflow/sdkcreateMmflowFeed() for live REST + SSE or keyed WebSocket data, plus the MmflowSocket client.

What you can build

Current-state capabilities — everything here ships today.

React / TypeScript chart components (plus Vue + a framework-agnostic core)
Bring-your-own-data feeds via createDataFeed / composeFeeds
Custom indicators in TypeScript via defineIndicator
Order-flow layers — footprint, order-book heatmap, and trade / whale markers
Drawing tools — trendlines, levels, channels, Fibonacci
Read-only market-data APIs — candles, funding, OI, liquidations, whales, options
Bounded, archive-backed historical context where coverage exists

Capability status

What ships today vs. what's still ahead. Honest by design — no roadmap features dressed up as current ones.

Hyperliquid terminalLive

Read-only market-data APIsLive

Candles · funding · OI · liquidations · whales · optionsLive

Embeddable WebGL chart componentsAvailable

Custom indicators (defineIndicator)Available

Order-flow layers (footprint · book heatmap · markers)Available

Drawing toolsAvailable

mmScript screeners (separate screener DSL)Available

Chart-level scripting languageNot planned — use defineIndicator

Recent archive-backed historical viewsBounded

Full tick warehouseNot yet

Historical L2 reconstructionNot yet

Durable footprint / order-book replayNot yet

Cloud saved sessionsNot yet

npm / PyPI / crates publishingRelease-ready · gated workflow

Archives are forward-built and bounded; coverage is source-dependent. Full tick history, historical L2 reconstruction, and durable replay are future infrastructure, not current claims. Packages build dual-format (ESM + CJS) with types and publish through a manual, secret-gated GitHub Actions release workflow.

Quick start

import { Chart } from "@mmflow/react";
import { createMmflowFeed } from "@mmflow/sdk";
import { smaStudy, rsiStudy } from "@mmflow/charts";

<Chart
  feed={createMmflowFeed({
    apiKey: process.env.NEXT_PUBLIC_MMFLOW_KEY,
    transport: "ws",
  })}
  symbol="BTC"
  resolution="1m"
  volume
  indicators={[smaStudy({ period: 50 }), rsiStudy()]}
/>;

REST + SSE are live on Vercel; keyed WebSocket streams run on the branded gateway.