Nikhil Rao ✓

@nikhi1rao

Cofounder @getreflex

431Followers

45Following

100Posts total

78.8KViews on collected posts

Neueste Beiträge

Nikhil Rao ✓@nikhi1rao28 Jul

@nikhi1rao @getreflex 523x faster than Plotly is an incredible benchmark. Congrats on the launch! 631 views · 5 likes · 0 reposts · 0 replies Open on X →

Nikhil Rao ✓@nikhi1rao28 Jul

At Reflex, we built xy to continue our mission to make Python more accessible and performant. @alekpetuskey created xy and wrote up a full technical write-up here: https://t.co/h77ugK5O5x 1K views · 9 likes · 0 reposts · 0 replies Open on X →

Nikhil Rao ✓@nikhi1rao28 Jul

xy renders a static PNG 523× faster than Plotly and 149× faster than Matplotlib, and reaches first interactive render 16–18× sooner. Plotly sends ~259 MiB to the browser at 10M points. xy sends ~258 KiB, which remains relatively consistent from 1M through 100M points. https://

1.2K views · 10 likes · 0 reposts · 1 replies Open on X →

Nikhil Rao ✓@nikhi1rao28 Jul

Here’s a medium-size benchmark with 100M points on an Apple M5 Pro in Chrome. Even at this size, graphs are instantly interactive. https://t.co/HqHhMo6Bji

GIF

1.4K views · 11 likes · 1 reposts · 1 replies Open on X →

Nikhil Rao ✓@nikhi1rao28 Jul

xy’s performance wins over other libraries comes from one simple principle: Render only the pixels that are seen, instead of rendering every single point. With this approach, compute wins increase exponentially with dataset size. 4.1K views · 12 likes · 0 reposts · 1 replies Open on X →

Nikhil Rao ✓@nikhi1rao28 Jul

You can find the repo here: https://t.co/HHB8Hf1vHl 2.1K views · 29 likes · 2 reposts · 1 replies Open on X →

Nikhil Rao ✓@nikhi1rao28 Jul

Introducing xy by @getreflex: an extremely performant Python charting library, written in Rust. xy is a direct replacement for Matplotlib, Plotly, Bokeh, and other Python charting libraries. At 10 million points, xy renders 523× faster than Plotly. We used it to render the http

68.4K views · 261 likes · 33 reposts · 27 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse under 10K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe1 407dieses Konto3 692Median für under 10K

Reichweite, %326.45%dieses Konto221.29%Median für under 10K

Interaktion, %0.89%dieses Konto1.38%Median für under 10K

Kennzahl	Dieses Konto	Median für under 10K	Verhältnis
Medianaufrufe pro Beitrag	1 407	3 692	0.38×
Reichweite (Aufrufe ÷ Follower)	3.3× audience	2.2× audience	1.48×
Interaktionsrate	0.89%	1.38%	0.64×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

68.4K28 Jul

2.1K

4.1K

1.4K

1.2K

631

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.47%28 Jul

1.51%

0.31%

0.92%

0.94%

0.89%

0.79%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.38%.

What the audience does

Likes56.4%337 in total

Reposts6.0%36 in total

Replies5.2%31 in total

Bookmarks32.3%193 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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