琅茶
Circuit mix
Where 琅茶 shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science100%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| PyCon (national Python conferences) |
Activity by year
Three measures on one year axis; each panel has its own scale.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyCon (national Python conferences)once, 2019, unranked tier
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Appier | 1 | 100% |
| Avnet | 1 | 100% |
| Bloomberg | 1 | 100% |
| Carousell | 1 | 100% |
| Cathay Financial Holdings (國泰金控) | 1 | 100% |
| ChuangShun Technology (創順科技) | 1 | 100% |
| E.SUN Bank (玉山銀行) | 1 | 100% |
| EMQ | 1 | 100% |
| Gemini Data | 1 | 100% |
| Hacarus | 1 | 100% |
| HackMD | 1 | 100% |
| iCHEF 資廚 | 1 | 100% |
| InfuseAI | 1 | 100% |
| Institute of Information Science, Academia Sinica | 1 | 100% |
| KlickKlack Communications 可立可 | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon TW 2019 | Sep 20–22, 2019 | Taipei, Taiwan | special | Other |
Speakers 0
No speakers from 琅茶 recorded.