Datapoints limit of syncfusion charts

Question

Do we have any documentation available for limit of number of datapoints in syncfusion charts ?

For Example on macbook pro chrome browser :

- Fast line chart can plot 10 thousand datapoint having numeric/datetime x-axis across series
- Fast line chart can plot 5 thousand datapoint having categorical x-axis across series
- Circular charts can handle 1k data points

- Bar charts will handle 1k data points
- Scatter chart will handle 10 k datapoints

We need it to decide machine configuration if that affects.
limits will change on desktop vs mobile app vs mobile browser ?

NOTE 1: This is not regarding how to improve performance, We went through other forum questions and we applied them.
NOTE 2: These performance stats are important for us to avoid browser hang / mobile application hang issues at customer site because of more number of datapoints. If we know performance stats we will trim data OR show warnings before hand OR do some aggregation before plotting if number of datapoints are out of capacity.

Lokesh Palani · Answer

Hi Dhananjay,We apologize for the delay in response, but we have
investigated your query thoroughly and have some recommendations for you.Based on the device configuration and RAM, the exact data
point count for optimal performance may vary. However, we suggest the following
features and improvements to avoid crashes:1. We do not recommend using the CategoryAxis
for more data points. Running SfCartesianChart
with 1,000 data points in the CategoryAxis
leads to performance issues because it is index-based rather than range-based,
causing every data point to be iterated.2. For circular charts, we have grouped features to avoid
small data values or more data points for better visualization. Please refer to
the below Ug link for more information.https://help.syncfusion.com/flutter/circular-charts/chart-types/pie-chart#grouping-data-points3. We suggest avoiding loading more data points during
the loading time. We recommend the use of lazy loading to avoid crash issues.
Please refer to the below KB links for more information:https://support.syncfusion.com/kb/article/10855/how-to-lazily-load-more-data-to-the-chart-sfcartesiancharthttps://support.syncfusion.com/kb/article/11533/how-to-synchronize-on-demand-loading-in-the-cartesian-charts-sfcartesianchartI hope these recommendations will be helpful in avoiding
crash issues. Please let us know if you have any further queries or concerns.Thank you for choosing Syncfusion.Regards,Lokesh.

Dhananjay Ghongane · Answer

Hello Lokesh,Thank you for your response.Defiantly performance improvement suggestion will help (We saw it in other forum answers as well).Lazy loading is not the option in our case because we want entire data view in one glance to look after data patterns."Based on the device configuration and RAM, the exact data point count for optimal performance may vary." => Could you provide stat for any particular device with disclaimer that it may vary. E.g Device 1: 2.6 GHz Dual-Core Intel Core i5.  and  8 GB 1600 MHz DDR3  Mac Book pro:Optimal Stats :  Fast line chart   --------- datapoint having numeric/datetime x-axis across seriesFast line chart ---------  datapoint having categorical x-axis across seriesCircular charts --------- data pointsBar charts ---------  data points Scatter chart ---------  datapointsDevice 2:  some other mobile device and its configuration.Optimal Stats : Fast line chart   --------- datapoint having numeric/datetime x-axis across seriesFast line chart ---------  datapoint having categorical x-axis across seriesCircular charts --------- data pointsBar charts ---------  data points Scatter chart ---------  datapointsCould you please fill in the blanks. With these referral example i will try to set high level (not exact) user expectations of our appRegards,Dhananjay.

Lokesh Palani · Answer

Hi Dhananjay,This is the optimal performance of the device when using
our chart.For 1k data points
 Fast line chart   - datapoint having numeric (10 ms)
     / datetime x-axis across series(15ms)
 Fast line chart -    datapoint
     having categorical x-axis across series (23 ms)
 Circular charts - data points (65 ms)
 Bar charts - data points (59 ms)
 Scatter chart - datapoints (31  ms)
For 5k data points
 Fast line chart   - datapoint having numeric (17 ms)
     / datetime x-axis across series (24 ms)
 Fast line chart - datapoint having
     categorical x-axis across series (31 ms)
 Circular charts - data points (97 ms)
 Bar charts - datapoints (73 ms)
 Scatter chart - datapoints (43 ms)
We are still improving the performance.Regards,Lokesh.

Dhananjay Ghongane · Answer

Lokesh,Thanks for sharing stats.Could you also share on which device you took these reading ?Also please share same stats for 7k and 10k datapoints.Reagrds,Dhananjay.

Lokesh Palani · Answer

Hi,Sorry for
the miscommunication. We had shared incorrect information, but we are currently
working on improving performance in the chart. We have now provided the correct
details based on your requirement. We plan to include this improved performance
in our upcoming releases, which are expected in October 2023. We appreciate
your patience until then. Please let us know if you need any further
assistance.The below performance
details were recorded on an Android mobile device with 12 GB of RAM and a
Mediatek Dimensity 1200 processor.For 1k
data points
 Fast line chart 
      --------- datapoint having numeric (151 ms) / datetime x-axis
     across series (163 ms)
 Fast line chart ---------
     datapoint having categorical x-axis across series (210 ms)
 Circular charts
     --------- data points (195 ms)
 Bar charts --------- data points
     (173 ms)
 Scatter chart ---------
     datapoints (164 ms)
For 5k
data points
 Fast line chart 
      --------- datapoint having numeric (165 ms) / datetime x-axis
     across series (171 ms)
 Fast line chart ---------
     datapoint having categorical x-axis across series (236 ms)
 Circular charts
     --------- data points (​277 ms)
 Bar charts --------- data points
     (213 ms)
 Scatter chart ---------
     datapoints (244 ms)
For 7k
data points
 Fast line chart 
      --------- datapoint having numeric (181 ms) / datetime x-axis
     across series (193  ms)
 Fast line chart ---------
     datapoint having categorical x-axis across series (265 ms)
 Circular charts
     --------- data points (323 ms)
 Bar charts --------- data points
     (241 ms)
 Scatter chart ---------
     datapoints (301 ms)
For
10k data points
 Fast line chart   ---------
     datapoint having numeric (193 ms) / datetime x-axis across series (205
     ms)
 Fast line chart ---------
     datapoint having categorical x-axis across series (281 ms)
 Circular charts
     --------- data points (384 ms)
 Bar charts --------- data points
     (256 ms)
 Scatter chart ---------
     datapoints (342 ms)
Macbook pro browser:For 1k data points
 Fast line chart   --------- datapoint having numeric (1018
     ms) / datetime x-axis across series (1020 ms)
 Fast line chart --------- datapoint having categorical x-axis across
     series (1019 ms)
 Circular charts --------- data points (2500 ms)
 Bar charts --------- data points (1019 ms)
 Scatter chart --------- datapoints (1020 ms)
For 5k data points
 Fast line chart   --------- datapoint having numeric (1021
     ms) / datetime x-axis across series(1019ms)
 Fast line chart --------- datapoint having
     categorical x-axis across series (1020 ms)
 Circular charts --------- data points (2670 ms)
 Bar charts --------- data points (1022 ms)
 Scatter chart --------- datapoints (1022 ms)
Regards,Lokesh.

Dhananjay Ghongane · Answer

Hello Lokesh,Thank you for information. Just for my better understanding i have one question. Lets take below example from your stat.Macbook pro browser: For 5k data pointsBar charts --------- data points (1022 ms)Does this mean:  Bar chart will load  5 thousand datapoints in 1022 milliseconds on macbook pro browser ?

Lokesh Palani · Answer

Hi ,We have obtained the performance details five times and calculated the mean value. According to the shared details, Bar charts will take 1022 milliseconds to load 5000 data points. Please inform us if you require any further information.Regards,Lokesh.

Dhananjay Ghongane · Answer

Lokesh,Thank you for all your findings. This will really help us. Please inform us once performance improved release is rolled out in OctoberRegards,Dhananjay.

Lokesh Palani · Answer

Hi Dhananjay,Most Welcome. Kindly get back to us if you have further queries. We are always happy to assist you.We will let you know once the release has been rolled out, and we appreciate your patience until then.Regards,Lokesh.

Lokesh Palani · Answer

Hi Dhananjay,Sorry for
the inconvenience, we missed to notify the release details here. We are
glad to announce that our Essential Studio 2023 Volume 4 release v24.1.41 was
rolled out and is available for download under the following link.Essential Studio 2023 Volume 4 Main
Release v24.1.41 is available for download | Announcements Forums | SyncfusionIn the latest chart package version, we did some
performance improvement, so we kindly request you to upgrade to the below
mentioned version.Version link,https://pub.dev/packages/syncfusion_flutter_charts/versions/24.1.41

Please try the above-mentioned chart version and let us know the result.We thank you for your support and appreciate your
patience in waiting for this release. Please get in touch with us if you would
require any further assistance.Regards,         Lokesh P.

Dhananjay Ghongane · Answer

Thank you for your reply, We will definitely check at our end.

Preethika Selvam · Answer

Hi Dhananjay,Most Welcome. Kindly get back to us if you have further queries. We
are always happy to assist you.Regards,Preethika Selvam.