SensorFlow｜开源埋点分析 @sensorflowsite

开源、自托管的埋点与用户行为分析｜Open-source self-hosted event analytics · ClickHouse · Superset sensorflow.site Joined September 2026

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SensorFlow｜开源埋点分析 @sensorflowsite

7 days ago

神策 SDK 数据接入自有服务器｜SensorFlow 自托管分析：部署到 Superset 看板演示 youtu.be/WJOInSvHK10?si… via @YouTube

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SensorFlow｜开源埋点分析 @sensorflowsite

a month ago

SensorFlow: Self-hosted event analytics with ClickHouse and SQL producthunt.com/products/senso… via @ProductHunt

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SensorFlow｜开源埋点分析 @sensorflowsite

a month ago

I just published SensorFlow vs Matomo in 2026: Event Pipeline or Web Analytics? medium.com/@sensorflow/se…

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SensorFlow｜开源埋点分析 @sensorflowsite

a month ago

I just published SensorFlow vs PostHog in 2026: Which Fits Your Stack? medium.com/@sensorflow/se…

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SensorFlow｜开源埋点分析 @sensorflowsite

a month ago

I just published Choosing an Event Analytics Stack Without a Feature Checklist medium.com/@sensorflow/ch…

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SensorFlow｜开源埋点分析 @sensorflowsite

a month ago

埋点平台怎么选？先问 5 个问题：网站流量还是多端事件、是否需要无代码分析、原始数据能否出域、替换 SDK 的成本、团队能承担多少运维。\n\nChoosing analytics? Start with scope, data ownership, SDK migration, UX, and ops — not feature count.

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SensorFlow｜开源埋点分析 @sensorflowsite

a month ago

埋点平台选型，别先比功能表。先问 4 件事：迁移成本、原始数据归属、指标是否可审计、团队愿意承担多少运维。 When choosing event analytics, start with migration cost, data ownership, auditable metrics, and operational responsibility—not feature count. #ProductAnalytics #数据分析