Search Beyond News…

Gigasoft claims ProEssentialsJS delivers over 600 million points per second, dwarfing existing JavaScript charting benchmarks

Executive summary: Gigasoft published a comparison showing its ProEssentialsJS library can render 25 million points at 25 fps (≈625 million points per second), far exceeding LightningChart’s 1 million‑point‑at‑10 Hz test (≈10 million points per second). High‑speed JavaScript charting enables richer, real‑time visualizations in finance, science and analytics; a clear performance edge can drive licensing revenue and influence library selection across sectors.

Who is involved: Gigasoft (ProEssentials), LightningChart, SciChart, Highcharts, ECharts.

Likely next (inference): Third‑party benchmarks will verify the claims; competitors may release optimisation updates; developers may begin evaluating ProEssentialsJS for upcoming projects.

Gigasoft’s press release positions its ProEssentialsJS library as a performance leader, citing internal tests that achieve 625 million points per second versus LightningChart’s published 10 million points per second benchmark. The claim, if validated, could shift developer preference toward ProEssentialsJS for data‑intensive web applications and increase competitive pressure on rivals such as Highcharts, SciChart and ECharts. Independent verification and real‑world adoption will determine whether the announced advantage translates into market share gains.

What's next — scenarios

Inference: scenarios and probabilities are Beyond's assessment, not reported fact.

Technical Validation & Market Disruption (25%)

Significant market share erosion for SciChart and LightningChart as enterprise developers migrate to ProEssentialsJS.

Marketing Hyperbole / Performance Gap (50%)

Industry skepticism maintains current market leadership for SciChart/LightningChart; ProEssentialsJS remains a niche tool.

Integration & Ecosystem Failure (25%)

High performance becomes irrelevant if the library lacks essential documentation or ecosystem support.

What to watch

Timeline

Analysis — what this means

Likely next events

Sectors affected

Historical parallels

Key entities

Sources

Related cases

Browse the full archive →